2020 |
Khowaja, K; Banire, B; Al-Thani, D; Sqalli, M T; Aqle, A; Shah, A; Salim, S S Augmented reality for learning of children and adolescents with autism spectrum disorder (ASD): A systematic review Journal Article IEEE Access, 8 , pp. 78779-78807, 2020, ISSN: 21693536, (cited By 0). Abstract | Links | BibTeX | Tags: Adolescent, Augmented Reality, Autism Spectrum Disorders, Bibliographic Database, Children, Classroom Environment, Data Acquisition, Data Collection, Diseases, Evaluation Parameters, Information Services, Maintenance, Parameter Estimation, Research, Social Communications @article sticky header logo 8, author = sticky header logo 7, url = sticky header logo 6, doi = sticky header logo 5, issn = sticky header logo 4, year = sticky header logo 3, date = sticky header logo 2, journal = sticky header logo 1, volume = sticky header logo 0, pages = end fusion sticky header wrapper 9, publisher = end fusion sticky header wrapper 8, abstract = end fusion sticky header wrapper 7, note = end fusion sticky header wrapper 6, keywords = end fusion sticky header wrapper 5, pubstate = end fusion sticky header wrapper 4, tppubtype = end fusion sticky header wrapper 3 } This paper presents a systematic review of relevant primary studies on the use of augmented reality (AR) to improve various skills of children and adolescents diagnosed with autism spectrum disorder (ASD) from years 2005 to 2018 inclusive in eight bibliographic databases. This systematic review attempts to address eleven specific research questions related to the learing skills, participants, AR technology, research design, data collection methods, settings, evaluation parameters, intervention outcomes, generalization, and maintenance. The social communication skill was the highly targeted skill, and individuals with ASD were part of all the studies. Computer, smartphone, and smartglass are more frequently used technologies. The commonly used research design was pre-test and post-test. Almost all the studies used observation as a data collection method, and classroom environment or controlled research environment were used as a setting of evaluation. Most of the evaluation parameters were human-assisted. The results of the studies show that AR benefited children with ASD in learning skills. The generalization test was conducted in one study only, but the results were not reported. The results of maintenance tests conducted in five studies during a short-term period following the withdrawal of intervention were positive. Although the effect of using AR towards the learning of individuals was positive, given the wide variety of skills targeted in the studies, and the heterogeneity of the participants, a summative conclusion regarding the effectiveness of AR for teaching or learning of skills related to ASD based on the existing literature is not possible. The review also proposes the research taxonomy for ASD. Future research addressing the effectiveness of AR among more participants, different technologies supporting AR for the intervention, generalization, and maintenance of learning skills, and the evaluation in the inslusive classroom environment and other settings is warranted. © 2013 IEEE. |
Liang, S; Loo, C K; Sabri, Md A Q Autism Spectrum Disorder Classification in Videos: A Hybrid of Temporal Coherency Deep Networks and Self-organizing Dual Memory Approach Journal Article Lecture Notes in Electrical Engineering, 621 , pp. 421-430, 2020, ISSN: 18761100, (cited By 0). Abstract | Links | BibTeX | Tags: Artificial Intelligence, Autism Spectrum Disorders, Autistic Children, Catastrophic Forgetting, Children with Autism, Diagnosis, Diseases, E-learning, Hybrid Approach, Learning, Neural Networks, Primary Objective, Scalable Systems, Temporal Coherency, Unsupervised Online Learning @article end fusion sticky header wrapper 2, author = end fusion sticky header wrapper 1, editor = end fusion sticky header wrapper 0, url = fusion-row 9, doi = fusion-row 8, issn = fusion-row 7, year = fusion-row 6, date = fusion-row 5, journal = fusion-row 4, volume = fusion-row 3, pages = fusion-row 2, publisher = fusion-row 1, abstract = fusion-row 0, note = #main 9, keywords = #main 8, pubstate = #main 7, tppubtype = #main 6 } Autism is at the moment, a common disorder. Prevalence of Autism Spectrum Disorder (ASD) is reported to be 1 in every 88 individuals. Early diagnosis of ASD has a significant impact to the livelihood of autistic children and their parents, or their caregivers. In this paper, we have developed an unsupervised online learning model for ASD classification. The proposed approach is a hybrid approach, consisting, the temporal coherency deep networks approach, and, the self-organizing dual memory approach. The primary objective of the research is, to have a scalable system that can achieve online learning, and, is able to avoid the catastrophic forgetting phenomena in neural networks. We have evaluated our approach using an ASD specific dataset, and obtained promising results that are well inclined in supporting the overall objective of the research. © Springer Nature Singapore Pte Ltd 2020. |
Nor, Mohd M N; Jailani, R; Tahir, N M Feature Selection of Electromyography Signals for Autism Spectrum Disorder Children During Gait Using Mann-Whitney Test Journal Article JURNAL TEKNOLOGI, 82 (2), pp. 113-120, 2020, ISSN: 0127-9696. Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Electromyography, Gait, Gait Analysis @article #main 5, author = #main 4, doi = #main 3, issn = #main 2, year = #main 1, date = #main 0, journal = [if lt IE 9]> volume = [if lt IE 9]> number = [if lt IE 9]> pages = [if lt IE 9]> publisher = [if lt IE 9]> address = [if lt IE 9]> abstract = [if lt IE 9]> keywords = [if lt IE 9]> pubstate = [if lt IE 9]> tppubtype = [if lt IE 9]> } Autism Spectrum Disorder is a lifelong neurodevelopmental impairment that affects brain growth and individual functional capabilities that associates with unusual movement and gait disturbance. The aim of this study is to investigate the significant features of EMG signals for lower limbs and arms muscle between Autism Spectrum Disorder (ASD) and Typical Development (TD) Children during walking. In this study, 30 ASD and 30 Typical Development (TD) children aged between 6 to 13 years old were asked to walk on the walkway naturally. The Electromyography (EMG) signals of Biceps Femoris (BF), Rectus Femoris (RF), Tibialis Anterior (TA), Gastrocnemius (GAS), Biceps Brachii (BB) and Tricep Brachii (TB) muscles of the ASD and TD children were recorded by using surface EMG sensors. The BF muscle is located at the posterior compartment of the thigh whereas the RF muscle located in the anterior compartment of the thigh. On the other hand, the TA muscle originates within the anterior compartment of the leg, and Gas muscle originates at the posterior compartment of the calf. Meanwhile, the BB muscle is in the front of the upper arm between shoulder and elbow, and TB muscle is a large muscle on the back of the upper arm limb. The data consists of 42 features from 7 walking phases of 6 muscles during one gait cycle were obtained from the data collection. Firstly, the data will be normalized to one gait cycle to standardize the length of EMG signals used for all subjects. Then, the feature selection method using Mann-Whitney Test is applied to find the significant features to differentiate between ASD and TD children from the EMG signals. Out of 42 features, 5 were found to be the most significant features of EMG signals between ASD and TD children, there are TA muscle at 30% of gait cycle, Gas muscle at 50% and 60% of gait cycle, and BB muscle at 10% and 80% of gait cycle with significant values of 0.017, 0.049, 0.034, 0.021 and 0.003, respectively. These findings are useful to both clinicians and parents as the lower limbs and arm muscles can be valuable therapeutic parameter for ASD children's rehabilitation plan. The findings of this research also suggest that the significant difference of EMG signals obtained can be a parameter to differentiate between ASD and TD children. |
2019 |
Khowaja, K; Salim, S S; Asemi, A; Ghulamani, S; Shah, A Universal Access in the Information Society, 2019, ISSN: 16155289, (cited By 2). Abstract | Links | BibTeX | Tags: Augmented Reality, Autism Spectrum Disorders, Children with Autism, Computer Aided Instruction, Decoding, Diseases, Language Comprehensions, Maintenance, Mammals, Multi-Modal Interfaces, Post Interventions, Reading Comprehension, Serious Games, Spectrum Analysis, Transfer Information, Virtual Learning Environments, Virtual Reality @article fusion-columns 9, author = fusion-columns 8, url = fusion-columns 7, doi = fusion-columns 6, issn = fusion-columns 5, year = fusion-columns 4, date = fusion-columns 3, journal = fusion-columns 2, publisher = fusion-columns 1, abstract = fusion-columns 0, note = fusion-row 9, keywords = fusion-row 8, pubstate = fusion-row 7, tppubtype = fusion-row 6 } This paper presents a systematic review of the literature on the modalities used in computer-based interventions (CBIs) and the impact of using these interventions in the learning, generalisation, and maintenance of language comprehension and decoding skills for children with autism spectrum disorder (ASD), ending with an appraisal of the certainty of evidence. Despite the importance of both skills in the reading comprehension and overall learning, a limited number of studies have been found. These include seven studies on language comprehension and seven studies on decoding. The shortlisted studies were analysed and a very limited number of modalities were found to have been used; text, graphics, audio, video, and mouse movement are used in all the studies and are termed basic modalities. Statistical analysis was also conducted on three parameters: (1) outcome of the study; (2) generalisation; and (3) maintenance. The analysis showed that CBIs were effective in facilitating these children’s learning; there was a significant improvement in the performance of children from the baseline to during and the post-intervention period. The analysis of generalisation has revealed positive results, indicating that the children were able to transfer information to a different setting or situation. Positive results are also noted from the analysis of maintenance, which indicate that the children retained information following the withdrawal of intervention. The combination of teachers’ instructions and CBI has provided better results than using either of them separately. This study has discovered 23 potential modalities and 2 potential CBIs including serious games and virtual learning environments that can be explored for language comprehension and decoding skills. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. |
Hasan, C Z C; Jailani, R; Tahir, N M 2018-October , Institute of Electrical and Electronics Engineers Inc., 2019, ISSN: 21593442, (cited By 0). Abstract | Links | BibTeX | Tags: 10 Fold Cross Validation, 3D Modeling, Autism Spectrum Disorders, Biophysics, Clinical Decision Making, Computer Aided Diagnosis, Decision Making, Discriminant Analysis, Diseases, Gait Analysis, Gait Classification, Ground Reaction Forces, Neural Networks, Parameterization Techniques, Pattern Recognition, Petroleum Reservoir Evaluation, Program Diagnostics, Support Vector Machines, Targeted Treatment, Three-Dimensional @conference fusion-row 5, author = fusion-row 4, url = fusion-row 3, doi = fusion-row 2, issn = fusion-row 1, year = fusion-row 0, date = fusion-footer-widget-area 9, journal = fusion-footer-widget-area 8, volume = fusion-footer-widget-area 7, pages = fusion-footer-widget-area 6, publisher = fusion-footer-widget-area 5, abstract = fusion-footer-widget-area 4, note = fusion-footer-widget-area 3, keywords = fusion-footer-widget-area 2, pubstate = fusion-footer-widget-area 1, tppubtype = fusion-footer-widget-area 0 } Autism spectrum disorder (ASD) is a complex and lifelong neurodevelopmental condition that occurs in early childhood and is associated with unusual movement and gait disturbances. An automated and accurate recognition of ASD gait provides assistance in diagnosis and clinical decision-making as well as improving targeted treatment. This paper explores the use of two well-known machine learning classifiers, artificial neural network (ANN) and support vector machine (SVM) in distinguishing ASD and normal gait patterns based on prominent gait features derived from three-dimensional (3D) ground reaction forces (GRFs) data. The 3D GRFs data of 30 children with ASD and 30 typically developing children were obtained using two force plates during self-determined speed of barefoot walking. Time-series parameterization techniques were applied to the 3D GRFs waveforms to extract the significant gait features. The stepwise method of discriminant analysis (SWDA) was employed to determine the dominant GRF gait features in order to classify ASD and typically developing groups. The 10-fold cross-validation test results indicate that the ANN model with three dominant GRF input features outperformed the kernel-based SVM models with 93.3% accuracy, 96.7% sensitivity, and 90.0% specificity. The findings of this study demonstrate the reliability of using the 3D GRF input features, in combination with SWDA feature selection and ANN classification model as an appropriate method that may be beneficial for the diagnosis of ASD gait as well as for evaluation purpose of the treatment programs. © 2018 IEEE. |
Yen, Eow Shiang; Ying, GanWan; Ying, Lim Poh; Hamidin, A Association between Nutritional Factors and Severity Among Children with Autism Spectrum Disorder in Malaysia Journal Article ANNALS OF NUTRITION AND METABOLISM, 75 (3), pp. 90, 2019, ISSN: 0250-6807. BibTeX | Tags: Autism Severity, Autism Spectrum Disorders, Children, Nutritional Factors @article fusion-fusion-copyright-content 9, author = fusion-fusion-copyright-content 8, issn = fusion-fusion-copyright-content 7, year = fusion-fusion-copyright-content 6, date = fusion-fusion-copyright-content 5, journal = fusion-fusion-copyright-content 4, volume = fusion-fusion-copyright-content 3, number = fusion-fusion-copyright-content 2, pages = fusion-fusion-copyright-content 1, publisher = fusion-fusion-copyright-content 0, address = fusion-row 9, keywords = fusion-row 8, pubstate = fusion-row 7, tppubtype = fusion-row 6 } |
Misman, M F; Samah, A A; Ezudin, F A; Majid, H A; Shah, Z A; Hashim, H; Harun, M F Classification of adults with autism spectrum disorder using deep neural network Conference Institute of Electrical and Electronics Engineers Inc., 2019, ISBN: 9781728130415, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Brain Disorders, Classification (of information), Classification Accuracy, Classification Methods, Clinical Tests, Cognitive Skill, Computer Aided Diagnosis, Deep Learning, Deep Neural Networks, Diseases, Learning, Machine Learning Methods, Screening Data, Support Vector Machines @conference fusion-row 5, author = fusion-row 4, url = fusion-row 3, doi = fusion-row 2, isbn = fusion-row 1, year = fusion-row 0, date = #footer 9, journal = #footer 8, pages = #footer 7, publisher = #footer 6, abstract = #footer 5, note = #footer 4, keywords = #footer 3, pubstate = #footer 2, tppubtype = #footer 1 } Autism Spectrum Disorder (ASD) is a developmental brain disorder that causes deficits in linguistic, communicative, and cognitive skills as well as social skills. Various application of Machine Learning has been applied apart from the clinical tests available, which has increased the performance in the diagnosis of this disorder. In this study, we applied the Deep Neural Network (DNN) architecture, which has been a popular method in recent years and proved to improve classification accuracy. This study aims to analyse the performance of DNN model in the diagnosis of ASD in terms of classification accuracy by using two datasets of adult ASD screening data. The results are then compared with the previous Machine Learning method by another researcher, which is Support Vector Machine (SVM). The accuracy achieved by the DNN model in the classification of ASD diagnosis is 99.40% on the first dataset and achieved 96.08% on the second dataset. Meanwhile, the SVM model achieved an accuracy of 95.24% and 95.08% using the first and second data, respectively. The results show that ASD cases can be accurately identified by implementing the DNN classification method using ASD adult screening data. © 2019 IEEE. |
Khowaja, K; Salim, S S; Al-Thani, D Institute of Electrical and Electronics Engineers Inc., 2019, ISBN: 9781538679661, (cited By 2). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Components, Diseases, Framework, Game Design, Games, Serious Games, Vocabulary @conference #footer 0, author = fusion-footer 9, url = fusion-footer 8, doi = fusion-footer 7, isbn = fusion-footer 6, year = fusion-footer 5, date = fusion-footer 4, journal = fusion-footer 3, publisher = fusion-footer 2, abstract = fusion-footer 1, note = fusion-footer 0, keywords = wrapper 9, pubstate = wrapper 8, tppubtype = wrapper 7 } Background: The research on the use of serious games to provide learning of skills to children with autism spectrum disorder (ASD) has increased in recent years. The use of serious games to provide vocabulary learning to children with ASD is still in infancy stage. Serious games are designed using a framework as a basis to use components in the game. However, there is no existing serious game design framework that can consider the needs of children with ASD.Objective: The objective of this study is to review components that could be useful in the design of serious game for children with ASD to learn vocabulary.Methods: The review of the literature on vocabulary learning of children with ASD and existing SGDFs was carried out to identify the components. The components have been reviewed from the perspective of 1) vocabulary learning of children with ASD in particular, 2) children with ASD in whole, 3) typical children and 4) game design in general.Results: A total of fifty components were found. The four components namely autism behaviours, strategies, instruction methods and modalities are related to children with ASD and their learning of vocabulary. The remaining components are based on the review of existing SGDFs. There were similarities in terms of use of components across the frameworks.Conclusion: The analysis of these components in the serious games developed for children with ASD shows its usability in designing games for these children. © 2018 IEEE. |
Liu, Y -W; Liong, M T; Chung, Y -C E; Huang, H -Y; Peng, W -S; Cheng, Y -F; Lin, Y -S; Wu, Y -Y; Tsai, Y -C Nutrients, 11 (4), 2019, ISSN: 20726643, (cited By 4). Abstract | Links | BibTeX | Tags: Aberrant Behavior Checklist Taiwan version, Adolescent, Age, Age Factors, Aggression, Anxiety, Article, Attention Deficit Disorder, Autism, Autism Behavior Checklist, Autism Diagnostic Interview Revised, Autism Spectrum Disorders, Child Behaviour, Child Behaviour Checklist, Children, Clinical Global Impression Scale, Communication Disorder, Controlled Study, Double Blind Procedure, Double-Blind Method, Female, Generalized Anxiety Disorder, Human, Impulsiveness, Lactobacillus Plantarum, Male, Physiology, Placebo, Placebos, Posttraumatic Stress Disorder, Probiotic Agent, Probiotics, Psychology, Questionnaires, Randomized Controlled Trial, Rating Scale, School Child, Scoring System, Social Behaviour, Social Interactions, Social Problem, Social Responsiveness Scale, Surveys, Swanson Nolan and Pelham IV Assessment, Synaptosomal Associated Protein 23, Taiwan @article wrapper 6, author = wrapper 5, url = wrapper 4, doi = wrapper 3, issn = wrapper 2, year = wrapper 1, date = wrapper 0, journal = #boxed-wrapper 9, volume = #boxed-wrapper 8, number = #boxed-wrapper 7, publisher = #boxed-wrapper 6, abstract = #boxed-wrapper 5, note = #boxed-wrapper 4, keywords = #boxed-wrapper 3, pubstate = #boxed-wrapper 2, tppubtype = #boxed-wrapper 1 } This four-week, randomized, double-blind, placebo-controlled study investigated the effects of Lactobacillus plantarum PS128 (PS128) on boys with autism spectrum disorder (ASD) aged 7-15 in Taiwan. All subjects fulfilled the criteria for ASD diagnosis of DSM-V and the Autism Diagnostic Interview-Revised (ADI-R). Questionnaires used for the primary outcome measure include the Autism Behavior Checklist-Taiwan version (ABC-T), the Social Responsiveness Scale (SRS) and the Child Behavior Checklist (CBCL). The Swanson, Nolan, and Pelham-IV-Taiwan version (SNAP-IV) and the Clinical Global Impression-improvement (CGI-I) were used for the secondary outcome measure. The results showed that PS128 ameliorated opposition/defiance behaviors, and that the total score of SNAP-IV for younger children (aged 7−12) improved significantly compared with the placebo group. Additionally, several elements were also notably improved in the PS128 group after 28-day consumption of PS128. Further studies are needed to better clarify the effects of PS128 for younger children with ASD on broader symptoms. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. |
Abdullah, A A; Rijal, S; Dash, S R Evaluation on Machine Learning Algorithms for Classification of Autism Spectrum Disorder (ASD) Conference 1372 (1), Institute of Physics Publishing, 2019, ISSN: 17426588, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Behaviour Evaluations, Biomedical Engineering, Brain Mapping, Classification (of information), Decision Trees, Diseases, Feature Extraction, Feature Selection Methods, K Fold Cross Validations, Learning, Least Absolute Shrinkage and Selection Operators, Least Squares Approximations, Logistic Regressions, Machine Learning, Machine Learning Methods, Magnetic Resonance Imaging, Nearest Neighbor Search, Regression Analysis, Supervised Learning, Supervised Machine Learning @conference #boxed-wrapper 0, author = Instagram Feed JS 9, editor = Instagram Feed JS 8, url = Instagram Feed JS 7, doi = Instagram Feed JS 6, issn = Instagram Feed JS 5, year = Instagram Feed JS 4, date = Instagram Feed JS 3, journal = Instagram Feed JS 2, volume = Instagram Feed JS 1, number = Instagram Feed JS 0, publisher = {Institute of Physics Publishing}, abstract = {Autism Spectrum Disorder (ASD) was characterized by delay in social interactions development, repetitive behaviors and narrow interest, which usually diagnosed with standard diagnostic tools such as Autism Diagnostic Observation Schedule (ADOS) and Autism Diagnostic Interview-Revised (ADIR-R). Previous work has implemented machine-learning methods for the classification of ASD, however they used different types of dataset such as brain images for MRI and EEG, risk genes in genetic profiles and behavior evaluation based on ADOS and ADI-R. Here a trial on using Autism Spectrum Questions (AQ) to build models that have higher potential to classify ASD was developed. In this research, Chi-square and Least Absolute Shrinkage and Selection Operator (LASSO) have been selected as feature selection methods to select the most important features for 3 supervised machine learning algorithms, which are Random Forest, Logistic Regression and K-Nearest Neighbors with K-fold cross validation. The performance was evaluated in which results Logistic Regression scored the highest accuracy with 97.541% using model with 13 selected features based on Chi-square selection method. © 2019 IOP Publishing Ltd. All rights reserved.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Behaviour Evaluations, Biomedical Engineering, Brain Mapping, Classification (of information), Decision Trees, Diseases, Feature Extraction, Feature Selection Methods, K Fold Cross Validations, Learning, Least Absolute Shrinkage and Selection Operators, Least Squares Approximations, Logistic Regressions, Machine Learning, Machine Learning Methods, Magnetic Resonance Imaging, Nearest Neighbor Search, Regression Analysis, Supervised Learning, Supervised Machine Learning}, pubstate = {published}, tppubtype = {conference} } Autism Spectrum Disorder (ASD) was characterized by delay in social interactions development, repetitive behaviors and narrow interest, which usually diagnosed with standard diagnostic tools such as Autism Diagnostic Observation Schedule (ADOS) and Autism Diagnostic Interview-Revised (ADIR-R). Previous work has implemented machine-learning methods for the classification of ASD, however they used different types of dataset such as brain images for MRI and EEG, risk genes in genetic profiles and behavior evaluation based on ADOS and ADI-R. Here a trial on using Autism Spectrum Questions (AQ) to build models that have higher potential to classify ASD was developed. In this research, Chi-square and Least Absolute Shrinkage and Selection Operator (LASSO) have been selected as feature selection methods to select the most important features for 3 supervised machine learning algorithms, which are Random Forest, Logistic Regression and K-Nearest Neighbors with K-fold cross validation. The performance was evaluated in which results Logistic Regression scored the highest accuracy with 97.541% using model with 13 selected features based on Chi-square selection method. © 2019 IOP Publishing Ltd. All rights reserved. |
2018 |
Ibrahim, Zuraida; Alias, Maizam A Review on Using Assistive Technology to Enhance Social Skills Competence Among Children with Autism Spectrum Disorder (ASD) Journal Article ADVANCED SCIENCE LETTERS, 24 (6), pp. 4250-4254, 2018, ISSN: 1936-6612, (International Conference on Science, Engineering, Management and Social Sciences (ICSEMSS), Univ Teknologi Malaysia, Johor Bahru, MALAYSIA, OCT 06-08, 2016). Abstract | Links | BibTeX | Tags: Assistive Technology, Autism Spectrum Disorders, Early Intervention, Social Skills Competence @article{ISI:000444996500092, title = {A Review on Using Assistive Technology to Enhance Social Skills Competence Among Children with Autism Spectrum Disorder (ASD)}, author = {Zuraida Ibrahim and Maizam Alias}, doi = {10.1166/asl.2018.11582}, issn = {1936-6612}, year = {2018}, date = {2018-06-01}, journal = {ADVANCED SCIENCE LETTERS}, volume = {24}, number = {6}, pages = {4250-4254}, publisher = {AMER SCIENTIFIC PUBLISHERS}, address = {26650 THE OLD RD, STE 208, VALENCIA, CA 91381-0751 USA}, organization = {Univ Teknologi Malaysia, Int Student Soc; Int Students Ctr; Univ Teknologi Malaysia, Inst Sultan Iskandar}, abstract = {This paper is intended to explore published reports, journals and articles concerning the implementation of Special Education in Malaysia. The literature review targets the Malaysian education system, focusing on students with special education need (SEN); in particular students with Autism Spectrum Disorder (ASD) in an attempt to describe the current state of understanding on current issues and gaps that lies within them. Specifically, the objectives of this review are to (a) identify effective intervention for ASD children, (b) identify appropriate domains for social skills competence, and (c) to make suggestions for future research. A narrative review was conducted on available literature to provide the explanations on existing knowledge related to the Malaysian education system, special education, ASD, teaching and learning approach for ASD children and effective intervention for ASD children. The findings from the narrative review indicate that inadequate social interaction is the main factor contributing to social skills deficit in ASD children in special education. The skills deficit consequently leads to problems with educators, peers, incompetence for independent living and lack of acceptance by society. The majority of literature makes recommendations on the implementation of assistive technology for skills enhancement. Furthermore, social interaction, social communication, social emotional and social behaviour were identified as domains for social skills competence in ASD children. Overall, the finding from the narrative review provides some support for conducting future research on the implementation of assistive technology in early intervention to enhance the teaching and learning process of social skills competence among ASD children.}, note = {International Conference on Science, Engineering, Management and Social Sciences (ICSEMSS), Univ Teknologi Malaysia, Johor Bahru, MALAYSIA, OCT 06-08, 2016}, keywords = {Assistive Technology, Autism Spectrum Disorders, Early Intervention, Social Skills Competence}, pubstate = {published}, tppubtype = {article} } This paper is intended to explore published reports, journals and articles concerning the implementation of Special Education in Malaysia. The literature review targets the Malaysian education system, focusing on students with special education need (SEN); in particular students with Autism Spectrum Disorder (ASD) in an attempt to describe the current state of understanding on current issues and gaps that lies within them. Specifically, the objectives of this review are to (a) identify effective intervention for ASD children, (b) identify appropriate domains for social skills competence, and (c) to make suggestions for future research. A narrative review was conducted on available literature to provide the explanations on existing knowledge related to the Malaysian education system, special education, ASD, teaching and learning approach for ASD children and effective intervention for ASD children. The findings from the narrative review indicate that inadequate social interaction is the main factor contributing to social skills deficit in ASD children in special education. The skills deficit consequently leads to problems with educators, peers, incompetence for independent living and lack of acceptance by society. The majority of literature makes recommendations on the implementation of assistive technology for skills enhancement. Furthermore, social interaction, social communication, social emotional and social behaviour were identified as domains for social skills competence in ASD children. Overall, the finding from the narrative review provides some support for conducting future research on the implementation of assistive technology in early intervention to enhance the teaching and learning process of social skills competence among ASD children. |
Toh, T -H; Tan, V W -Y; Lau, P S -T; Kiyu, A Accuracy of Modified Checklist for Autism in Toddlers (M-CHAT) in Detecting Autism and Other Developmental Disorders in Community Clinics Journal Article Journal of Autism and Developmental Disorders, 48 (1), pp. 28-35, 2018, ISSN: 01623257, (cited By 9). Abstract | Links | BibTeX | Tags: Article, Autism, Autism Assessment, Autism Spectrum Disorders, Checklist, Children, Cohort Analysis, Cohort Studies, Community Health Centers, Developmental Disorders, Diagnostic Accuracy, Female, Health Center, Human, Infant, Major Clinical Study, Malaysia, Male, Mass Screening, Modified Checklist for Autism in Toddlers, Pediatric Hospital, Predictive Value, Preschool, Preschool Child, Priority Journal, Procedures, Psychology, Retrospective Studies, Retrospective Study, Sensitivity and Specificity, Standards, Toddler @article{Toh201828, title = {Accuracy of Modified Checklist for Autism in Toddlers (M-CHAT) in Detecting Autism and Other Developmental Disorders in Community Clinics}, author = {T -H Toh and V W -Y Tan and P S -T Lau and A Kiyu}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028764085&doi=10.1007%2fs10803-017-3287-x&partnerID=40&md5=21bce2407197b8b1e43b4420d274861b}, doi = {10.1007/s10803-017-3287-x}, issn = {01623257}, year = {2018}, date = {2018-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {48}, number = {1}, pages = {28-35}, publisher = {Springer New York LLC}, abstract = {This study determined the accuracy of Modified Checklist for Autism in Toddlers (M-CHAT) in detecting toddlers with autism spectrum disorder (ASD) and other developmental disorders (DD) in community mother and child health clinics. We analysed 19,297 eligible toddlers (15–36 months) who had M-CHAT performed in 2006–2011. Overall sensitivities for detecting ASD and all DD were poor but better in the 21 to <27 months and 27–36-month age cohorts (54.5–64.3%). Although positive predictive value (PPV) was poor for ASD, especially the younger cohort, positive M-CHAT helped in detecting all DD (PPV = 81.6%). This suggested M-CHAT for screening ASD was accurate for older cohorts (>21 months) and a useful screening tool for all DD. © 2017, Springer Science+Business Media, LLC.}, note = {cited By 9}, keywords = {Article, Autism, Autism Assessment, Autism Spectrum Disorders, Checklist, Children, Cohort Analysis, Cohort Studies, Community Health Centers, Developmental Disorders, Diagnostic Accuracy, Female, Health Center, Human, Infant, Major Clinical Study, Malaysia, Male, Mass Screening, Modified Checklist for Autism in Toddlers, Pediatric Hospital, Predictive Value, Preschool, Preschool Child, Priority Journal, Procedures, Psychology, Retrospective Studies, Retrospective Study, Sensitivity and Specificity, Standards, Toddler}, pubstate = {published}, tppubtype = {article} } This study determined the accuracy of Modified Checklist for Autism in Toddlers (M-CHAT) in detecting toddlers with autism spectrum disorder (ASD) and other developmental disorders (DD) in community mother and child health clinics. We analysed 19,297 eligible toddlers (15–36 months) who had M-CHAT performed in 2006–2011. Overall sensitivities for detecting ASD and all DD were poor but better in the 21 to <27 months and 27–36-month age cohorts (54.5–64.3%). Although positive predictive value (PPV) was poor for ASD, especially the younger cohort, positive M-CHAT helped in detecting all DD (PPV = 81.6%). This suggested M-CHAT for screening ASD was accurate for older cohorts (>21 months) and a useful screening tool for all DD. © 2017, Springer Science+Business Media, LLC. |
Masiran, R Autism and trichotillomania in an adolescent boy Journal Article BMJ Case Reports, 2018 , 2018, ISSN: 1757790X, (cited By 0). Abstract | Links | BibTeX | Tags: Adolescent, Alopecia, Anxiety, Article, Attention Deficit Disorder, Attention Deficit Hyperactivity Disorder, Autism, Autism Spectrum Disorders, Behaviour Disorder, Body Mass, Case Report, Central Nervous System Stimulants, Child Behaviour Checklist, Clinical Article, Comorbidity, Complication, Diagnosis, Differential, Differential Diagnosis, Drug Dose Titration, Drug Tolerance, DSM-5, Echolalia, Fluvoxamine, Follow Up, Human, Hyperactivity, Intellectual Impairment, Male, Methylphenidate, Obesity, Occupational Therapy, Perceptual Reasoning Index, Priority Journal, Processing Speed Index, Psychiatric Status Rating Scales, Psychological Rating Scale, Rating Scale, Restlessness, Reward, Serotonin Uptake Inhibitor, Serotonin Uptake Inhibitors, Special Education, Speech Delay, Speech Disorder, Speech Therapy, Trichotillomania, Verbal Comprehension Index, Wechsler Intelligence Scale, Working Memory Index @article{Masiran2018b, title = {Autism and trichotillomania in an adolescent boy}, author = {R Masiran}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053164449&doi=10.1136%2fbcr-2018-226270&partnerID=40&md5=7eed3f6af717df527dce73838feab571}, doi = {10.1136/bcr-2018-226270}, issn = {1757790X}, year = {2018}, date = {2018-01-01}, journal = {BMJ Case Reports}, volume = {2018}, publisher = {BMJ Publishing Group}, abstract = {An adolescent with autism spectrum disorder and improperly treated attention deficit hyperactivity disorder presented with recurrent hair pulling. Treatment with selective serotonin reuptake inhibitor and stimulant improved these conditions. © © BMJ Publishing Group Limited 2018.}, note = {cited By 0}, keywords = {Adolescent, Alopecia, Anxiety, Article, Attention Deficit Disorder, Attention Deficit Hyperactivity Disorder, Autism, Autism Spectrum Disorders, Behaviour Disorder, Body Mass, Case Report, Central Nervous System Stimulants, Child Behaviour Checklist, Clinical Article, Comorbidity, Complication, Diagnosis, Differential, Differential Diagnosis, Drug Dose Titration, Drug Tolerance, DSM-5, Echolalia, Fluvoxamine, Follow Up, Human, Hyperactivity, Intellectual Impairment, Male, Methylphenidate, Obesity, Occupational Therapy, Perceptual Reasoning Index, Priority Journal, Processing Speed Index, Psychiatric Status Rating Scales, Psychological Rating Scale, Rating Scale, Restlessness, Reward, Serotonin Uptake Inhibitor, Serotonin Uptake Inhibitors, Special Education, Speech Delay, Speech Disorder, Speech Therapy, Trichotillomania, Verbal Comprehension Index, Wechsler Intelligence Scale, Working Memory Index}, pubstate = {published}, tppubtype = {article} } An adolescent with autism spectrum disorder and improperly treated attention deficit hyperactivity disorder presented with recurrent hair pulling. Treatment with selective serotonin reuptake inhibitor and stimulant improved these conditions. © © BMJ Publishing Group Limited 2018. |
Ghazali, R; Soon, C C; Hassan, S N S; Sulaiman, N Design and development of therapeutic aid tools using human-machine interaction approach for children with autism spectrum disorder Journal Article Advances in Intelligent Systems and Computing, 739 , pp. 530-537, 2018, ISSN: 21945357, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Children with Autism, Communication Skills, Design and Development, Diseases, Economic and Social Effects, Human Machine Interaction, Human Robot Interaction, Learning, Man Machine Systems, Patient Rehabilitation, Robotics, Social Interactions, Technology Enhancements @article{Ghazali2018530, title = {Design and development of therapeutic aid tools using human-machine interaction approach for children with autism spectrum disorder}, author = {R Ghazali and C C Soon and S N S Hassan and N Sulaiman}, editor = {Levy Mohd Lokman Chen P A K Koyama S. Yamanaka T.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044232513&doi=10.1007%2f978-981-10-8612-0_55&partnerID=40&md5=94310d263566c262486065187e7d4f09}, doi = {10.1007/978-981-10-8612-0_55}, issn = {21945357}, year = {2018}, date = {2018-01-01}, journal = {Advances in Intelligent Systems and Computing}, volume = {739}, pages = {530-537}, publisher = {Springer Verlag}, abstract = {The development of human–machine interaction as teaching and therapeutic aid tools for therapist as well as parents of children with various levels of autism spectrum disorder (ASD) has been widely developed amongst the researchers and academician. The technology enhancement by integrating robotics and automation is purposely established to provide assistance for children with ASD that suffer from brain development, social interaction, communication skill, and cognitive function. Therefore, this paper presents the development and evaluation of the therapeutic aid tools through human-machine interaction approaches. Apart from attracting the children with ASD to participate in rehabilitation and learning process, these tools are purposely designed to encourage children with ASD to learn and react using the various interactive physical games. In the evaluation process, the completion time has been recorded in the continuation of three attempts for the comparison purpose. As a result, the combination of technology in this therapeutic aid tools will enhance the level of thinking and elevate the activities during the therapy process. As a conclusion, different methods can be enhanced to support children with ASD through the existing technologies and thus provide new alternatives in therapy process. © Springer Nature Singapore Pte Ltd. 2018.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Children with Autism, Communication Skills, Design and Development, Diseases, Economic and Social Effects, Human Machine Interaction, Human Robot Interaction, Learning, Man Machine Systems, Patient Rehabilitation, Robotics, Social Interactions, Technology Enhancements}, pubstate = {published}, tppubtype = {article} } The development of human–machine interaction as teaching and therapeutic aid tools for therapist as well as parents of children with various levels of autism spectrum disorder (ASD) has been widely developed amongst the researchers and academician. The technology enhancement by integrating robotics and automation is purposely established to provide assistance for children with ASD that suffer from brain development, social interaction, communication skill, and cognitive function. Therefore, this paper presents the development and evaluation of the therapeutic aid tools through human-machine interaction approaches. Apart from attracting the children with ASD to participate in rehabilitation and learning process, these tools are purposely designed to encourage children with ASD to learn and react using the various interactive physical games. In the evaluation process, the completion time has been recorded in the continuation of three attempts for the comparison purpose. As a result, the combination of technology in this therapeutic aid tools will enhance the level of thinking and elevate the activities during the therapy process. As a conclusion, different methods can be enhanced to support children with ASD through the existing technologies and thus provide new alternatives in therapy process. © Springer Nature Singapore Pte Ltd. 2018. |
Azahari, Ahmad I N N B; Ahmad, Wan W F; Hashim, A S Evaluation of video modeling application to teach social interaction skills to autistic children Journal Article Communications in Computer and Information Science, 886 , pp. 125-135, 2018, ISSN: 18650929, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Autistic Children, Children with Autism, Communication Skills, Computer, Computer Science, Diseases, Learning Materials, Mental Disorders, Mobile Applications, Mobile Technology, Social Interactions @article{AhmadAzahari2018125, title = {Evaluation of video modeling application to teach social interaction skills to autistic children}, author = {I N N B Ahmad Azahari and W F Wan Ahmad and A S Hashim}, editor = {Foth M Abdullah N. Wan Adnan W.A.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052957663&doi=10.1007%2f978-981-13-1628-9_12&partnerID=40&md5=25564063d73e43461ac32389f19c9e05}, doi = {10.1007/978-981-13-1628-9_12}, issn = {18650929}, year = {2018}, date = {2018-01-01}, journal = {Communications in Computer and Information Science}, volume = {886}, pages = {125-135}, publisher = {Springer Verlag}, abstract = {Autism Social Aid (ASD) is a mental disorder that affects a person at an early age. People with ASD show deficiencies in daily living abilities that lead to impairment in their independence skill, restrict their social involvement which leads to poor living style. This rooted from their key personal behaviours, which are impairment in social and communication skills. However, with the availability of mobile technology that engages education through video modelling, it has become more practical for educators to train daily living skills for individuals with ASD. Consequently a Video Modelling Application called ‘Autism Social-Aid’ was created to provide a supplementary learning material envisioned to help stimulate children with ASD in the learning process. The purpose of this study is to evaluate the effects of video modelling in teaching five children diagnosed with medium-functioning ASD to understand social interaction skills. The children went through three trials of the evaluation phases. Results revealed that video modelling was effective as all of the children were able to display positive improvements from the first trial to the third trial. As a result, all of them have reduced an average 77% of the total prompt needed to remain focus on the video lesson and an average of 70% number of errors was reduced during the quiz evaluation. © 2018, Springer Nature Singapore Pte Ltd.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Autistic Children, Children with Autism, Communication Skills, Computer, Computer Science, Diseases, Learning Materials, Mental Disorders, Mobile Applications, Mobile Technology, Social Interactions}, pubstate = {published}, tppubtype = {article} } Autism Social Aid (ASD) is a mental disorder that affects a person at an early age. People with ASD show deficiencies in daily living abilities that lead to impairment in their independence skill, restrict their social involvement which leads to poor living style. This rooted from their key personal behaviours, which are impairment in social and communication skills. However, with the availability of mobile technology that engages education through video modelling, it has become more practical for educators to train daily living skills for individuals with ASD. Consequently a Video Modelling Application called ‘Autism Social-Aid’ was created to provide a supplementary learning material envisioned to help stimulate children with ASD in the learning process. The purpose of this study is to evaluate the effects of video modelling in teaching five children diagnosed with medium-functioning ASD to understand social interaction skills. The children went through three trials of the evaluation phases. Results revealed that video modelling was effective as all of the children were able to display positive improvements from the first trial to the third trial. As a result, all of them have reduced an average 77% of the total prompt needed to remain focus on the video lesson and an average of 70% number of errors was reduced during the quiz evaluation. © 2018, Springer Nature Singapore Pte Ltd. |
Aziz, A A; Moganan, F F M; Mokhsin, M; Sakamat, N; Ismail, A Humanoid robot intervention with autism: The conceptual model in demonstrating the emotional responses of children with autism Journal Article Advances in Intelligent Systems and Computing, 739 , pp. 574-579, 2018, ISSN: 21945357, (cited By 0). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Spectrum Disorders, Autistic Children, Children with Autism, Conceptual Model, Developmental Disorders, Diseases, Emotion, Emotional Response, Humanoid Robot, Robotics, Robots @article{Aziz2018574, title = {Humanoid robot intervention with autism: The conceptual model in demonstrating the emotional responses of children with autism}, author = {A A Aziz and F F M Moganan and M Mokhsin and N Sakamat and A Ismail}, editor = {Levy Mohd Lokman Chen P A K Koyama S. Yamanaka T.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044186403&doi=10.1007%2f978-981-10-8612-0_60&partnerID=40&md5=76beda967357c1b4445593f4f3bb00fe}, doi = {10.1007/978-981-10-8612-0_60}, issn = {21945357}, year = {2018}, date = {2018-01-01}, journal = {Advances in Intelligent Systems and Computing}, volume = {739}, pages = {574-579}, publisher = {Springer Verlag}, abstract = {Autism is a lifelong developmental disorder often associated with the inability to interact and communicate with others in meaningful ways. Few studies have actually proven that individuals with autism are facing difficulties in extracting and interpreting the emotion of others. This has led to the misbelief that individuals with autism are emotionless. This paper aims to demonstrate that given the right triggers, individuals with autism will show certain level of emotional responses. With its main objectives being (i) To study the previous research on the impact of Humanoid Robot Intervention on autistic children’s emotional responses and (ii) To illustrate the conceptual model that can further elevate the emotional responses of an autistic child, it is with the best hope that the model can further aid researchers in understanding the autistic children’s emotional responses while engaging with the humanoid robot, thus may help in creating a more meaningful and successful interaction session. © Springer Nature Singapore Pte Ltd. 2018.}, note = {cited By 0}, keywords = {Anthropomorphic Robots, Autism Spectrum Disorders, Autistic Children, Children with Autism, Conceptual Model, Developmental Disorders, Diseases, Emotion, Emotional Response, Humanoid Robot, Robotics, Robots}, pubstate = {published}, tppubtype = {article} } Autism is a lifelong developmental disorder often associated with the inability to interact and communicate with others in meaningful ways. Few studies have actually proven that individuals with autism are facing difficulties in extracting and interpreting the emotion of others. This has led to the misbelief that individuals with autism are emotionless. This paper aims to demonstrate that given the right triggers, individuals with autism will show certain level of emotional responses. With its main objectives being (i) To study the previous research on the impact of Humanoid Robot Intervention on autistic children’s emotional responses and (ii) To illustrate the conceptual model that can further elevate the emotional responses of an autistic child, it is with the best hope that the model can further aid researchers in understanding the autistic children’s emotional responses while engaging with the humanoid robot, thus may help in creating a more meaningful and successful interaction session. © Springer Nature Singapore Pte Ltd. 2018. |
Min, W K; Theng, L B Integration of digital social story intervention into differentiated instruction framework Journal Article Journal of Integrated Design and Process Science, 21 (4), pp. 41-56, 2018, ISSN: 10920617, (cited By 1). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Differentiated Instruction, Diseases, E-learning, Human Intervention, Social behaviour, Social Communications, Social Skills, Social Stories, Social Story Interventions, Teaching @article{Min201841, title = {Integration of digital social story intervention into differentiated instruction framework}, author = {W K Min and L B Theng}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056467196&doi=10.3233%2fjid-2017-0008&partnerID=40&md5=fdc3f6472d188fb0fc7b949800a99b4d}, doi = {10.3233/jid-2017-0008}, issn = {10920617}, year = {2018}, date = {2018-01-01}, journal = {Journal of Integrated Design and Process Science}, volume = {21}, number = {4}, pages = {41-56}, publisher = {IOS Press}, abstract = {Social communication impairment is pervasive among children diagnosed with Autism Spectrum Disorder (ASD) and participating in the respective community as a full-fledge member requires positive social behaviours. To help these children acquire acceptable social behaviours, social story approach as an eminent social skills intervention technique makes use of engaging and relevant social stories. Though reported effective, not all social stories created are equally effective for all children in addition to a significant amount of human intervention this approach requires and teacher/ caretaker's difficulties in providing full-individualized attention. This study investigated how digital social stories intervention augmented with differentiated instructions could help overcome these drawbacks while supplementing the social communication needs of the children with ASD. The results of this study were positive and the proposed approach was effective in improving social behaviours of the children with ASD. © 2017 - IOS Press and the authors. All rights reserved.}, note = {cited By 1}, keywords = {Autism Spectrum Disorders, Differentiated Instruction, Diseases, E-learning, Human Intervention, Social behaviour, Social Communications, Social Skills, Social Stories, Social Story Interventions, Teaching}, pubstate = {published}, tppubtype = {article} } Social communication impairment is pervasive among children diagnosed with Autism Spectrum Disorder (ASD) and participating in the respective community as a full-fledge member requires positive social behaviours. To help these children acquire acceptable social behaviours, social story approach as an eminent social skills intervention technique makes use of engaging and relevant social stories. Though reported effective, not all social stories created are equally effective for all children in addition to a significant amount of human intervention this approach requires and teacher/ caretaker's difficulties in providing full-individualized attention. This study investigated how digital social stories intervention augmented with differentiated instructions could help overcome these drawbacks while supplementing the social communication needs of the children with ASD. The results of this study were positive and the proposed approach was effective in improving social behaviours of the children with ASD. © 2017 - IOS Press and the authors. All rights reserved. |
Ishak, N I; Yusof, H M; Sidek, S N; Jaalan, Z Interactive robotic platform for education and language skill rehabilitation Conference 2017-November , Institute of Electrical and Electronics Engineers Inc., 2018, ISBN: 9781538639603, (cited By 0). Abstract | Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Autistic Children, Children with Autism, Communication Skills, Diseases, Eye Movement, Facial Expression, High Level Controllers, Human Robot Interaction, Interactive Robotics, Machine Design, Patient Rehabilitation, Robotics @conference{Ishak20181, title = {Interactive robotic platform for education and language skill rehabilitation}, author = {N I Ishak and H M Yusof and S N Sidek and Z Jaalan}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050632534&doi=10.1109%2fICSIMA.2017.8312031&partnerID=40&md5=d2a223b2a4623560320389638990a308}, doi = {10.1109/ICSIMA.2017.8312031}, isbn = {9781538639603}, year = {2018}, date = {2018-01-01}, journal = {2017 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2017}, volume = {2017-November}, pages = {1-5}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {In this paper, we present the mechanism and system design of a robot that is suitable for rehabilitation process for autistic children. Through some researches, robot seems to have the ability to improve the communication skills of the children with autism. An interactive robotic platform has been developed taking into consideration the robot appearance and features to encourage positive outcome in the rehabilitation of autism spectrum disorder (ASD) children. The interaction between the robot and the child included language skills, eye contact, imitation behavior, facial expression and movement of the robot. Here, a high-level controller is integrated to the system to help therapist monitors the children's reactions towards the robot. In result, the developed robot has the ability to help therapist to diagnose and conclude the therapy session in a shorter period. © 2017 IEEE.}, note = {cited By 0}, keywords = {Autism, Autism Spectrum Disorders, Autistic Children, Children with Autism, Communication Skills, Diseases, Eye Movement, Facial Expression, High Level Controllers, Human Robot Interaction, Interactive Robotics, Machine Design, Patient Rehabilitation, Robotics}, pubstate = {published}, tppubtype = {conference} } In this paper, we present the mechanism and system design of a robot that is suitable for rehabilitation process for autistic children. Through some researches, robot seems to have the ability to improve the communication skills of the children with autism. An interactive robotic platform has been developed taking into consideration the robot appearance and features to encourage positive outcome in the rehabilitation of autism spectrum disorder (ASD) children. The interaction between the robot and the child included language skills, eye contact, imitation behavior, facial expression and movement of the robot. Here, a high-level controller is integrated to the system to help therapist monitors the children's reactions towards the robot. In result, the developed robot has the ability to help therapist to diagnose and conclude the therapy session in a shorter period. © 2017 IEEE. |
2017 |
Dzulkifli, M A; Wahdi, E V F A; Rahman, A W A Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781509045211, (cited By 3). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Children with Autism, Computer Aided Instruction, Computer Assisted Instruction, Diseases, E-learning, Education, Educational Strategy, Language Development, Pervasive Developmental Disorders, Teaching, Vocabulary Learning, Well Intervention @conference{Dzulkifli201747, title = {A review for future research and practice in using computer assisted instruction on vocabulary learning among children with autism spectrum disorder}, author = {M A Dzulkifli and E V F A Wahdi and A W A Rahman}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013059526&doi=10.1109%2fICT4M.2016.21&partnerID=40&md5=c78e01f1ebd8c062011d42d8853ce4fd}, doi = {10.1109/ICT4M.2016.21}, isbn = {9781509045211}, year = {2017}, date = {2017-01-01}, journal = {Proceedings - 6th International Conference on Information and Communication Technology for the Muslim World, ICT4M 2016}, pages = {47-52}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {A lack of educational strategies may hinder students from benefiting the most from their education. The existing public or government schools do not adequately accommodate children with special needs in terms of providing them with good syllabuses as well interventions. Instead, various forms of pervasive developmental disorders are frequently placed in special education classes without an accurate diagnosis. This is something that needs to be rectified because every disability requires different needs and attention. In children with special needs such as children with Autism Spectrum Disorder (ASD), it warrants diverse teaching methods to be used. While the use of computer assisted instructions (CAIs) in the West has been found to be effective for children with ASD, research regarding the applicability of CAIs to cater for the learning process of children with special needs in the Malaysian context is still lacking. The present paper reviews previous studies that have employed CAIs to enhance language development of children with ASD. Following this, it recommends future research that incorporates the use of CAI to improve vocabulary learning of children with ASD who are non-native English speakers. © 2016 IEEE.}, note = {cited By 3}, keywords = {Autism Spectrum Disorders, Children with Autism, Computer Aided Instruction, Computer Assisted Instruction, Diseases, E-learning, Education, Educational Strategy, Language Development, Pervasive Developmental Disorders, Teaching, Vocabulary Learning, Well Intervention}, pubstate = {published}, tppubtype = {conference} } A lack of educational strategies may hinder students from benefiting the most from their education. The existing public or government schools do not adequately accommodate children with special needs in terms of providing them with good syllabuses as well interventions. Instead, various forms of pervasive developmental disorders are frequently placed in special education classes without an accurate diagnosis. This is something that needs to be rectified because every disability requires different needs and attention. In children with special needs such as children with Autism Spectrum Disorder (ASD), it warrants diverse teaching methods to be used. While the use of computer assisted instructions (CAIs) in the West has been found to be effective for children with ASD, research regarding the applicability of CAIs to cater for the learning process of children with special needs in the Malaysian context is still lacking. The present paper reviews previous studies that have employed CAIs to enhance language development of children with ASD. Following this, it recommends future research that incorporates the use of CAI to improve vocabulary learning of children with ASD who are non-native English speakers. © 2016 IEEE. |
Shminan, A S; Adzani, R A; Sharif, S; Lee, N K 2018-January , Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781538607657, (cited By 1). Abstract | Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Behavioral Disabilities, Diseases, Drones, E-learning, Human Computer Interaction, Intervention, Mobile Based Learning, Mobile Computing, Parents, Surveys, Systems Analysis, Technology Transfer, User Interface Designs, User Interfaces @conference{Shminan201749, title = {AutiPECS: Mobile based learning of picture exchange communication intervention for caregivers of autistic children}, author = {A S Shminan and R A Adzani and S Sharif and N K Lee}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050617137&doi=10.1109%2fICONDA.2017.8270398&partnerID=40&md5=67a6c94341aa3b530fede19c93a63d81}, doi = {10.1109/ICONDA.2017.8270398}, isbn = {9781538607657}, year = {2017}, date = {2017-01-01}, journal = {1st International Conference on Computer and Drone Applications: Ethical Integration of Computer and Drone Technology for Humanity Sustainability, IConDA 2017}, volume = {2018-January}, pages = {49-54}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {The aim of this study is to develop and assess a mobile-based learning concerning the Picture Exchange Communication (PECS) for Autism Spectrum Disorder (ASD) children's caregivers. Being an inexpensive intervention, the PECS has been proposed by other parents who have practised it on their children with non-verbal and behavioral disabilities. The underlying motivator for this mobile application is to guarantee that autistic children can have a better alternative intervention through the PECS approach so that they would not rely on the therapist a great deal or go to the autism center which is often costly. This mobile application elaborates on the user requirements which include PECS introduction, the characteristics, initial preparations, strategies and the activities. Instructional System Design (ISD) functions as the methodologies that help create the mobile-based learning. The system design has five stages namely the analysis, design, development, implementation and evaluation. These stages are better known as ADDIE which ensure the user to attain the goals of the instruction for the entire process. To examine the content and the user interface design for this mobile application, a formative evaluation was conducted which was aided by the usability testing by questionnaires and short instructed interviews. With the application of the ADDIE principles and guideline of Human-Computer Interaction (HCI), the best combination of causes of the AutiPECS had been developed properly. In sum, this research has achieved the objectives. The content had been assessed by the expert, and the caregivers know how to adopt D.I.Y concepts as they are working on the learning materials. Future works may also be able to take more advantage of the AutiPECS 2.0 version where they can develop the mobile-based learning of PECS in the extended content and pay more attention to more specific case studies so that the caregivers know how to use PECS with the special children everyday. © 2017 IEEE.}, note = {cited By 1}, keywords = {Autism, Autism Spectrum Disorders, Behavioral Disabilities, Diseases, Drones, E-learning, Human Computer Interaction, Intervention, Mobile Based Learning, Mobile Computing, Parents, Surveys, Systems Analysis, Technology Transfer, User Interface Designs, User Interfaces}, pubstate = {published}, tppubtype = {conference} } The aim of this study is to develop and assess a mobile-based learning concerning the Picture Exchange Communication (PECS) for Autism Spectrum Disorder (ASD) children's caregivers. Being an inexpensive intervention, the PECS has been proposed by other parents who have practised it on their children with non-verbal and behavioral disabilities. The underlying motivator for this mobile application is to guarantee that autistic children can have a better alternative intervention through the PECS approach so that they would not rely on the therapist a great deal or go to the autism center which is often costly. This mobile application elaborates on the user requirements which include PECS introduction, the characteristics, initial preparations, strategies and the activities. Instructional System Design (ISD) functions as the methodologies that help create the mobile-based learning. The system design has five stages namely the analysis, design, development, implementation and evaluation. These stages are better known as ADDIE which ensure the user to attain the goals of the instruction for the entire process. To examine the content and the user interface design for this mobile application, a formative evaluation was conducted which was aided by the usability testing by questionnaires and short instructed interviews. With the application of the ADDIE principles and guideline of Human-Computer Interaction (HCI), the best combination of causes of the AutiPECS had been developed properly. In sum, this research has achieved the objectives. The content had been assessed by the expert, and the caregivers know how to adopt D.I.Y concepts as they are working on the learning materials. Future works may also be able to take more advantage of the AutiPECS 2.0 version where they can develop the mobile-based learning of PECS in the extended content and pay more attention to more specific case studies so that the caregivers know how to use PECS with the special children everyday. © 2017 IEEE. |
Hnoonual, A; Thammachote, W; Tim-Aroon, T; Rojnueangnit, K; Hansakunachai, T; Sombuntham, T; Roongpraiwan, R; Worachotekamjorn, J; Chuthapisith, J; Fucharoen, S; Wattanasirichaigoon, D; Ruangdaraganon, N; Limprasert, P; Jinawath, N Scientific Reports, 7 (1), 2017, ISSN: 20452322, (cited By 6). Abstract | Links | BibTeX | Tags: Adolescent, Autism, Autism Spectrum Disorders, Children, Chromosomal Mapping, Chromosome Mapping, Cohort Analysis, Cohort Studies, Copy Number Variation, DNA Copy Number Variations, Female, Genetic Predisposition, Genetic Predisposition to Disease, Genetics, Human, Infant, Male, Membrane Protein, Membrane Proteins, Microarray Analysis, Polymorphism, Preschool, Preschool Child, Procedures, SERINC2 Protein, Single Nucleotide, Single Nucleotide Polymorphism @article{Hnoonual2017, title = {Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder}, author = {A Hnoonual and W Thammachote and T Tim-Aroon and K Rojnueangnit and T Hansakunachai and T Sombuntham and R Roongpraiwan and J Worachotekamjorn and J Chuthapisith and S Fucharoen and D Wattanasirichaigoon and N Ruangdaraganon and P Limprasert and N Jinawath}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029864969&doi=10.1038%2fs41598-017-12317-3&partnerID=40&md5=3c1b6a0c064665aab8ace8e8f58c2b01}, doi = {10.1038/s41598-017-12317-3}, issn = {20452322}, year = {2017}, date = {2017-01-01}, journal = {Scientific Reports}, volume = {7}, number = {1}, publisher = {Nature Publishing Group}, abstract = {Chromosomal microarray (CMA) is now recognized as the first-tier genetic test for detection of copy number variations (CNVs) in patients with autism spectrum disorder (ASD). The aims of this study were to identify known and novel ASD associated-CNVs and to evaluate the diagnostic yield of CMA in Thai patients with ASD. The Infinium CytoSNP-850K BeadChip was used to detect CNVs in 114 Thai patients comprised of 68 retrospective ASD patients (group 1) with the use of CMA as a second line test and 46 prospective ASD and developmental delay patients (group 2) with the use of CMA as the first-tier test. We identified 7 (6.1%) pathogenic CNVs and 22 (19.3%) variants of uncertain clinical significance (VOUS). A total of 29 patients with pathogenic CNVs and VOUS were found in 22% (15/68) and 30.4% (14/46) of the patients in groups 1 and 2, respectively. The difference in detected CNV frequencies between the 2 groups was not statistically significant (Chi square = 1.02}, note = {cited By 6}, keywords = {Adolescent, Autism, Autism Spectrum Disorders, Children, Chromosomal Mapping, Chromosome Mapping, Cohort Analysis, Cohort Studies, Copy Number Variation, DNA Copy Number Variations, Female, Genetic Predisposition, Genetic Predisposition to Disease, Genetics, Human, Infant, Male, Membrane Protein, Membrane Proteins, Microarray Analysis, Polymorphism, Preschool, Preschool Child, Procedures, SERINC2 Protein, Single Nucleotide, Single Nucleotide Polymorphism}, pubstate = {published}, tppubtype = {article} } Chromosomal microarray (CMA) is now recognized as the first-tier genetic test for detection of copy number variations (CNVs) in patients with autism spectrum disorder (ASD). The aims of this study were to identify known and novel ASD associated-CNVs and to evaluate the diagnostic yield of CMA in Thai patients with ASD. The Infinium CytoSNP-850K BeadChip was used to detect CNVs in 114 Thai patients comprised of 68 retrospective ASD patients (group 1) with the use of CMA as a second line test and 46 prospective ASD and developmental delay patients (group 2) with the use of CMA as the first-tier test. We identified 7 (6.1%) pathogenic CNVs and 22 (19.3%) variants of uncertain clinical significance (VOUS). A total of 29 patients with pathogenic CNVs and VOUS were found in 22% (15/68) and 30.4% (14/46) of the patients in groups 1 and 2, respectively. The difference in detected CNV frequencies between the 2 groups was not statistically significant (Chi square = 1.02 |
Shuib, S; Saaid, N N; Zakaria, Z; Ismail, J; Latiff, Abdul Z Duplication 17p11.2 (Potocki-Lupski syndrome) in a child with developmental delay Journal Article Malaysian Journal of Pathology, 39 (1), pp. 77-81, 2017, ISSN: 01268635, (cited By 0). Abstract | Links | BibTeX | Tags: Abnormalities, Agarose, Article, Autism, Autism Spectrum Disorders, Blood Culture, Case Report, Children, Chromosome 17, Chromosome Analysis, Chromosome Disorder, Chromosome Duplication, Chromosomes, Clinical Article, Comparative Genomic Hybridization, Developmental Delay, Electrophoresis, Female, Fluorescence, Fluorescence in Situ Hybridization, Gene, Gene Identification, Genetics, Genomic DNA, Human, In Situ Hybridization, Lymphocyte Culture, Microarray Analysis, Multiple, Multiple Malformation Syndrome, Pair 17, Phenotype, Potocki Lupski Syndrome, Preschool, Preschool Child, Procedures, RAI1 Gene, Ultraviolet Spectrophotometry @article{Shuib201777, title = {Duplication 17p11.2 (Potocki-Lupski syndrome) in a child with developmental delay}, author = {S Shuib and N N Saaid and Z Zakaria and J Ismail and Z Abdul Latiff}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037028880&partnerID=40&md5=624b87d1e9ebac2d1bf66b4d30c0f6e9}, issn = {01268635}, year = {2017}, date = {2017-01-01}, journal = {Malaysian Journal of Pathology}, volume = {39}, number = {1}, pages = {77-81}, publisher = {Malaysian Society of Pathologists}, abstract = {Potocki-Lupski syndrome (PTLS), also known as duplication 17p11.2 syndrome, trisomy 17p11.2 or dup(17)(p11.2p11.2) syndrome, is a developmental disorder and a rare contiguous gene syndrome affecting 1 in 20,000 live births. Among the key features of such patients are autism spectrum disorder, learning disabilities, developmental delay, attention-deficit disorder, infantile hypotonia and cardiovascular abnormalities. Previous studies using microarray identified variations in the size and extent of the duplicated region of chromosome 17p11.2. However, there are a few genes which are considered as candidates for PTLS which include RAI1, SREBF1, DRG2, LLGL1, SHMT1 and ZFP179. In this report, we investigated a case of a 3-year-old girl who has developmental delay. Her chromosome analysis showed a normal karyotype (46,XX). Analysis using array CGH (4X44 K, Agilent USA) identified an ~4.2 Mb de novo duplication in chromosome 17p11.2. The result was confirmed by fluorescence in situ hybridization (FISH) using probes in the critical PTLS region. This report demonstrates the importance of microarray and FISH in the diagnosis of PTLS. © 2017, Malaysian Society of Pathologists. All rights reserved.}, note = {cited By 0}, keywords = {Abnormalities, Agarose, Article, Autism, Autism Spectrum Disorders, Blood Culture, Case Report, Children, Chromosome 17, Chromosome Analysis, Chromosome Disorder, Chromosome Duplication, Chromosomes, Clinical Article, Comparative Genomic Hybridization, Developmental Delay, Electrophoresis, Female, Fluorescence, Fluorescence in Situ Hybridization, Gene, Gene Identification, Genetics, Genomic DNA, Human, In Situ Hybridization, Lymphocyte Culture, Microarray Analysis, Multiple, Multiple Malformation Syndrome, Pair 17, Phenotype, Potocki Lupski Syndrome, Preschool, Preschool Child, Procedures, RAI1 Gene, Ultraviolet Spectrophotometry}, pubstate = {published}, tppubtype = {article} } Potocki-Lupski syndrome (PTLS), also known as duplication 17p11.2 syndrome, trisomy 17p11.2 or dup(17)(p11.2p11.2) syndrome, is a developmental disorder and a rare contiguous gene syndrome affecting 1 in 20,000 live births. Among the key features of such patients are autism spectrum disorder, learning disabilities, developmental delay, attention-deficit disorder, infantile hypotonia and cardiovascular abnormalities. Previous studies using microarray identified variations in the size and extent of the duplicated region of chromosome 17p11.2. However, there are a few genes which are considered as candidates for PTLS which include RAI1, SREBF1, DRG2, LLGL1, SHMT1 and ZFP179. In this report, we investigated a case of a 3-year-old girl who has developmental delay. Her chromosome analysis showed a normal karyotype (46,XX). Analysis using array CGH (4X44 K, Agilent USA) identified an ~4.2 Mb de novo duplication in chromosome 17p11.2. The result was confirmed by fluorescence in situ hybridization (FISH) using probes in the critical PTLS region. This report demonstrates the importance of microarray and FISH in the diagnosis of PTLS. © 2017, Malaysian Society of Pathologists. All rights reserved. |
Eren, Emine Ozel; Ali, Nik Asilah Nik EVIDENCE-BASED PRACTICE: INCLUSIVE EDUCATION FOR THE EFFECTIVE IMPLEMENTATION FOR CHILDREN WITH AUTISM Inproceedings DeSilva, S (Ed.): PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON EDUCATION 2017 (ICEDU- 2017), pp. 114-128, Int Inst Knowledge Management INT INST KNOWLEDGE MANAGEMENT-TIIKM, NO 531/18, KOTTE RD, PITAKOTTE, 10100, SRI LANKA, 2017, (3rd International Conference on Education (ICEDU), Univ No Colorado, Kuala Lumpur, MALAYSIA, APR 20-22, 2017). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Effective Implementation, Evidence-based Practice, Inclusive Education @inproceedings{ISI:000430352000013, title = {EVIDENCE-BASED PRACTICE: INCLUSIVE EDUCATION FOR THE EFFECTIVE IMPLEMENTATION FOR CHILDREN WITH AUTISM}, author = {Emine Ozel Eren and Nik Asilah Nik Ali}, editor = {S DeSilva}, url = {http://tiikmpublishing.com/data/conferences/doi/icedu/icedu.2017.3113.pdf}, doi = {10.17501/icedu.2017.3113}, year = {2017}, date = {2017-01-01}, booktitle = {PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON EDUCATION 2017 (ICEDU- 2017)}, pages = {114-128}, publisher = {INT INST KNOWLEDGE MANAGEMENT-TIIKM}, address = {NO 531/18, KOTTE RD, PITAKOTTE, 10100, SRI LANKA}, organization = {Int Inst Knowledge Management}, abstract = {Interventions for autism are increasing being held to standards such as `evidence-based practice' in psychology and `scientifically-based re-search' in education. At the factor when these ideas rose with regards to psychotherapy and regular education, they brought on substantial debate. Evidence-based practices (EBPs) are the premise on which educators and other specialist coops are required to outline educational programs for students with autism spectrum disorders (ASD). Inclusive education as a late modernity reform project is exemplified in the call for `Education for All'. Despite the simplicity of its message, inclusion is highly debatable. General education teachers have differing views about the inclusion of students with ASD in mainstream class-rooms. However, the type and severity of the Autistic children's affect teachers' willingness to accommodate certain students and their confidence that they will effectively manage their classrooms. The Implementation science guides the movement of innovations, such as transforming evidence-based practices for students with ASD into regular practices at school. This article is presented as an inclusive educational model to build systems of professional development that increase the quality of services and promote teachers' use of evidence-based practices. Further, it is proposed that the ASD community align with the greater inclusive education reform movement.}, note = {3rd International Conference on Education (ICEDU), Univ No Colorado, Kuala Lumpur, MALAYSIA, APR 20-22, 2017}, keywords = {Autism Spectrum Disorders, Effective Implementation, Evidence-based Practice, Inclusive Education}, pubstate = {published}, tppubtype = {inproceedings} } Interventions for autism are increasing being held to standards such as `evidence-based practice' in psychology and `scientifically-based re-search' in education. At the factor when these ideas rose with regards to psychotherapy and regular education, they brought on substantial debate. Evidence-based practices (EBPs) are the premise on which educators and other specialist coops are required to outline educational programs for students with autism spectrum disorders (ASD). Inclusive education as a late modernity reform project is exemplified in the call for `Education for All'. Despite the simplicity of its message, inclusion is highly debatable. General education teachers have differing views about the inclusion of students with ASD in mainstream class-rooms. However, the type and severity of the Autistic children's affect teachers' willingness to accommodate certain students and their confidence that they will effectively manage their classrooms. The Implementation science guides the movement of innovations, such as transforming evidence-based practices for students with ASD into regular practices at school. This article is presented as an inclusive educational model to build systems of professional development that increase the quality of services and promote teachers' use of evidence-based practices. Further, it is proposed that the ASD community align with the greater inclusive education reform movement. |
2016 |
Nor, M N M; Jailani, R; Tahir, N M Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781509015436, (cited By 4). Abstract | Links | BibTeX | Tags: ASD Children, Autism Spectrum Disorders, Diseases, Electromyography, Gases, Gastrocnemius, Human Motions, Industrial Electronics, Muscle, Tibialis Anterior, Typical Development, Walking Gait, Walking Pattern @conference{Nor2016226, title = {Analysis of EMG signals of TA and GAS muscles during walking of Autism Spectrum Disorder (ASD) children}, author = {M N M Nor and R Jailani and N M Tahir}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992153602&doi=10.1109%2fISCAIE.2016.7575068&partnerID=40&md5=7aaa147660a67bf4c2ddaa31f0e78717}, doi = {10.1109/ISCAIE.2016.7575068}, isbn = {9781509015436}, year = {2016}, date = {2016-01-01}, journal = {ISCAIE 2016 - 2016 IEEE Symposium on Computer Applications and Industrial Electronics}, pages = {226-230}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {This paper presents an analysis of Electromyography (EMG) signals of lower limb muscles during walking among children. Total of 18 children consists of 8 Autism Spectrum Disorder (ASD) children and 10 Typical Development (TD) children aged between 6 to 13 years old were participated in this study. The muscles of Tibialis Anterior (TA) and Gastrocnemius (GAS) were examined and the EMG signals data were obtained using Trigno Wireless EMG System at Human Motion and Analysis Laboratory, UiTM Shah Alam. The EMG signals patterns for TA and GAS muscles will be explained and the independent t-Test will be analyzed to investigate the differences of walking gait in ASD children and TD children. The result shows that there is significant differences at Gastrocnemius (GAS) muscle between ASD and TD children during midstance where p value is equal to 0.042. From this study, the EMG signal for GAS muscle play an important role in differentiate between ASD and TD children. © 2016 IEEE.}, note = {cited By 4}, keywords = {ASD Children, Autism Spectrum Disorders, Diseases, Electromyography, Gases, Gastrocnemius, Human Motions, Industrial Electronics, Muscle, Tibialis Anterior, Typical Development, Walking Gait, Walking Pattern}, pubstate = {published}, tppubtype = {conference} } This paper presents an analysis of Electromyography (EMG) signals of lower limb muscles during walking among children. Total of 18 children consists of 8 Autism Spectrum Disorder (ASD) children and 10 Typical Development (TD) children aged between 6 to 13 years old were participated in this study. The muscles of Tibialis Anterior (TA) and Gastrocnemius (GAS) were examined and the EMG signals data were obtained using Trigno Wireless EMG System at Human Motion and Analysis Laboratory, UiTM Shah Alam. The EMG signals patterns for TA and GAS muscles will be explained and the independent t-Test will be analyzed to investigate the differences of walking gait in ASD children and TD children. The result shows that there is significant differences at Gastrocnemius (GAS) muscle between ASD and TD children during midstance where p value is equal to 0.042. From this study, the EMG signal for GAS muscle play an important role in differentiate between ASD and TD children. © 2016 IEEE. |
Muty, N; Azizul, Z Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781509016365, (cited By 2). Abstract | Links | BibTeX | Tags: Arm Flapping, Autism Spectrum Disorders, Children with Autism, Computation Theory, Computational Framework, Diseases, Human Action Recognition, Human Pose Estimations, Image Recognition, Pose Estimation, Skeletal Representation @conference{Muty2016, title = {Detecting arm flapping in children with Autism Spectrum Disorder using human pose estimation and skeletal representation algorithms}, author = {N Muty and Z Azizul}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011297898&doi=10.1109%2fICAICTA.2016.7803118&partnerID=40&md5=e11241ced18900dbe4aab19c78c1a349}, doi = {10.1109/ICAICTA.2016.7803118}, isbn = {9781509016365}, year = {2016}, date = {2016-01-01}, journal = {4th IGNITE Conference and 2016 International Conference on Advanced Informatics: Concepts, Theory and Application, ICAICTA 2016}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Stereotypical behaviour such as arm flapping is among the prominent early signs for young children with Autism Spectrum Disorder (ASD). Diagnosis of arm flapping requires clinicians to use the standard Repetitive Behaviour Scale-Revised (RBSR) which is a structured questionnaire with the caregivers to detect the arm flapping behavioural patterns or cues. This method involves clinicians in multiple long sessions, risking a delay in diagnosis and usually an expensive process. Moreover, trained clinicians may not be available in some areas. The focus of this work is to propose a development of a computational framework to automate the diagnosis process of arm flapping. Here, we show how the human action recognition (HAR) techniques, namely, the pose estimation and the skeletal representation are utilized simultaneously to segment parts of the human body (head, neck, elbows and shoulders) into stickman model. We show how the stickman model allows us to estimate arm asymmetry (during arm flapping) which indicates possible sign of autism. The framework developed has been tested against data taken from a public database and has shown a high accuracy in detecting the repetitive behavioural pattern among young children. The results show that our method can provide efficient results in clinical assessment. © 2016 IEEE.}, note = {cited By 2}, keywords = {Arm Flapping, Autism Spectrum Disorders, Children with Autism, Computation Theory, Computational Framework, Diseases, Human Action Recognition, Human Pose Estimations, Image Recognition, Pose Estimation, Skeletal Representation}, pubstate = {published}, tppubtype = {conference} } Stereotypical behaviour such as arm flapping is among the prominent early signs for young children with Autism Spectrum Disorder (ASD). Diagnosis of arm flapping requires clinicians to use the standard Repetitive Behaviour Scale-Revised (RBSR) which is a structured questionnaire with the caregivers to detect the arm flapping behavioural patterns or cues. This method involves clinicians in multiple long sessions, risking a delay in diagnosis and usually an expensive process. Moreover, trained clinicians may not be available in some areas. The focus of this work is to propose a development of a computational framework to automate the diagnosis process of arm flapping. Here, we show how the human action recognition (HAR) techniques, namely, the pose estimation and the skeletal representation are utilized simultaneously to segment parts of the human body (head, neck, elbows and shoulders) into stickman model. We show how the stickman model allows us to estimate arm asymmetry (during arm flapping) which indicates possible sign of autism. The framework developed has been tested against data taken from a public database and has shown a high accuracy in detecting the repetitive behavioural pattern among young children. The results show that our method can provide efficient results in clinical assessment. © 2016 IEEE. |
Rusli, N; Yusof, H M; Sidek, S N; Latif, M H Hottest pixel segmentation based thermal image analysis for children Conference Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781467377911, (cited By 0). Abstract | Links | BibTeX | Tags: Affective State, Autism Spectrum Disorders, Biomedical Engineering, Diseases, Feature Extraction, First-Order Statistics, Forehead Region, Gray Level Intensity, Image Analysis, Image Segmentation, Pixels, Segmentation Techniques, Thermal Image Analysis, Thermal Images @conference{Rusli2016274, title = {Hottest pixel segmentation based thermal image analysis for children}, author = {N Rusli and H M Yusof and S N Sidek and M H Latif}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015712176&doi=10.1109%2fIECBES.2016.7843457&partnerID=40&md5=847e69c597caab24e0cd0f4e2cf558c6}, doi = {10.1109/IECBES.2016.7843457}, isbn = {9781467377911}, year = {2016}, date = {2016-01-01}, journal = {IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences}, pages = {274-279}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {In this paper, the first order statistics for gray level intensity defined from thermal image is implemented to govern the significant and distinguishable characteristic pattern in thermal image of affective states. The impact of thresholding mechanism is studied to differentiate between positive affective states (happy) and negative affective states (sad) analysis in response to the stimuli adopted from International Affective Pictures System (IAPS) database. The hottest pixel segmentation technique is applied where it identifies the threshold level in a way to classify the hottest pixel area. The region of interest is narrowed to a forehead region with result of separation analysis made to left and right area. Two experiments have been conducted by using different set of stimuli and the results depicts of asymmetry and differed in culmination pattern for these two affective states. This conclusive result from this study suggests that this feature can be used as one of the important feature to give information of affective states on individuals with autism spectrum disorder (ASD) with least of facial expressions and perhaps would-be use in non-verbal means. © 2016 IEEE.}, note = {cited By 0}, keywords = {Affective State, Autism Spectrum Disorders, Biomedical Engineering, Diseases, Feature Extraction, First-Order Statistics, Forehead Region, Gray Level Intensity, Image Analysis, Image Segmentation, Pixels, Segmentation Techniques, Thermal Image Analysis, Thermal Images}, pubstate = {published}, tppubtype = {conference} } In this paper, the first order statistics for gray level intensity defined from thermal image is implemented to govern the significant and distinguishable characteristic pattern in thermal image of affective states. The impact of thresholding mechanism is studied to differentiate between positive affective states (happy) and negative affective states (sad) analysis in response to the stimuli adopted from International Affective Pictures System (IAPS) database. The hottest pixel segmentation technique is applied where it identifies the threshold level in a way to classify the hottest pixel area. The region of interest is narrowed to a forehead region with result of separation analysis made to left and right area. Two experiments have been conducted by using different set of stimuli and the results depicts of asymmetry and differed in culmination pattern for these two affective states. This conclusive result from this study suggests that this feature can be used as one of the important feature to give information of affective states on individuals with autism spectrum disorder (ASD) with least of facial expressions and perhaps would-be use in non-verbal means. © 2016 IEEE. |
Sheppard, E; Pillai, D; Wong, G T -L; Ropar, D; Mitchell, P How Easy is it to Read the Minds of People with Autism Spectrum Disorder? Journal Article Journal of Autism and Developmental Disorders, 46 (4), pp. 1247-1254, 2016, ISSN: 01623257, (cited By 37). Abstract | Links | BibTeX | Tags: Adolescent, Adult, Article, Autism, Autism Spectrum Disorders, Decision Making, Emotion, Facial Expression, Female, Human, Male, Mental Health, Nonverbal Communication, Pathophysiology, Priority Journal, Psychology, Video Recording, Young Adult @article{Sheppard20161247, title = {How Easy is it to Read the Minds of People with Autism Spectrum Disorder?}, author = {E Sheppard and D Pillai and G T -L Wong and D Ropar and P Mitchell}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961215349&doi=10.1007%2fs10803-015-2662-8&partnerID=40&md5=d39b6bdebe3c2f33e304eb4d4c09b6fd}, doi = {10.1007/s10803-015-2662-8}, issn = {01623257}, year = {2016}, date = {2016-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {46}, number = {4}, pages = {1247-1254}, publisher = {Springer New York LLC}, abstract = {How well can neurotypical adults’ interpret mental states in people with ASD? ‘Targets’ (ASD and neurotypical) reactions to four events were video-recorded then shown to neurotypical participants whose task was to identify which event the target had experienced. In study 1 participants were more successful for neurotypical than ASD targets. In study 2, participants rated ASD targets equally expressive as neurotypical targets for three of the events, while in study 3 participants gave different verbal descriptions of the reactions of ASD and neurotypical targets. It thus seems people with ASD react differently but not less expressively to events. Because neurotypicals are ineffective in interpreting the behaviour of those with ASD, this could contribute to the social difficulties in ASD. © 2015, Springer Science+Business Media New York.}, note = {cited By 37}, keywords = {Adolescent, Adult, Article, Autism, Autism Spectrum Disorders, Decision Making, Emotion, Facial Expression, Female, Human, Male, Mental Health, Nonverbal Communication, Pathophysiology, Priority Journal, Psychology, Video Recording, Young Adult}, pubstate = {published}, tppubtype = {article} } How well can neurotypical adults’ interpret mental states in people with ASD? ‘Targets’ (ASD and neurotypical) reactions to four events were video-recorded then shown to neurotypical participants whose task was to identify which event the target had experienced. In study 1 participants were more successful for neurotypical than ASD targets. In study 2, participants rated ASD targets equally expressive as neurotypical targets for three of the events, while in study 3 participants gave different verbal descriptions of the reactions of ASD and neurotypical targets. It thus seems people with ASD react differently but not less expressively to events. Because neurotypicals are ineffective in interpreting the behaviour of those with ASD, this could contribute to the social difficulties in ASD. © 2015, Springer Science+Business Media New York. |
Hussain, A; Abdullah, A; Husni, H; Mkpojiogu, E O C Interaction design principles for edutainment systems: Enhancing the communication skills of children with autism spectrum disorders Journal Article Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia, 39 (8), pp. 45-50, 2016, ISSN: 02540770, (cited By 24). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Children, Communication Skills, Diseases, Education, Edutainment, Interaction Design, Spectrum Analysis, User Interfaces @article{Hussain201645, title = {Interaction design principles for edutainment systems: Enhancing the communication skills of children with autism spectrum disorders}, author = {A Hussain and A Abdullah and H Husni and E O C Mkpojiogu}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996550833&doi=10.21311%2f001.39.8.06&partnerID=40&md5=bf024285ea24b4d1eb8fc6938cbcf5d6}, doi = {10.21311/001.39.8.06}, issn = {02540770}, year = {2016}, date = {2016-01-01}, journal = {Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia}, volume = {39}, number = {8}, pages = {45-50}, publisher = {Revista Tecnica de la Facultad de Ingeniera}, abstract = {Owing to deterioration in communication, approximately 50% of individuals diagnosed with Autism face challenges in developing functional languages. To assist these individuals become more relaxed and comfortable during these activities, installed educational games on mobile devices can be used. Although there are many new mobile applications available for individuals with Autism, they are difficult to use; particularly in terms of user-interface design. An analysis of existing apps developed for children with autism shows that app design principles are projected according to interaction design (IxD) which fulfills the users? requirements in a more efficient way. The analysis involved five applications and pointed out fifteen suggestions regarding the design principles. This paper presents the suggested recommendations for the design and development of prototype apps for autistic children. It introduces edutainment systems design principles, which are designed to assist in the development of communication skills in children diagnosed with Autism-spectrum disorders.}, note = {cited By 24}, keywords = {Autism Spectrum Disorders, Children, Communication Skills, Diseases, Education, Edutainment, Interaction Design, Spectrum Analysis, User Interfaces}, pubstate = {published}, tppubtype = {article} } Owing to deterioration in communication, approximately 50% of individuals diagnosed with Autism face challenges in developing functional languages. To assist these individuals become more relaxed and comfortable during these activities, installed educational games on mobile devices can be used. Although there are many new mobile applications available for individuals with Autism, they are difficult to use; particularly in terms of user-interface design. An analysis of existing apps developed for children with autism shows that app design principles are projected according to interaction design (IxD) which fulfills the users? requirements in a more efficient way. The analysis involved five applications and pointed out fifteen suggestions regarding the design principles. This paper presents the suggested recommendations for the design and development of prototype apps for autistic children. It introduces edutainment systems design principles, which are designed to assist in the development of communication skills in children diagnosed with Autism-spectrum disorders. |
2015 |
Gallagher, D; Voronova, A; Zander, M A; Cancino, G I; Bramall, A; Krause, M P; Abad, C; Tekin, M; Neilsen, P M; Callen, D F; Scherer, S W; Keller, G M; Kaplan, D R; Walz, K; Miller, F D Ankrd11 is a chromatin regulator involved in autism that is essential for neural development Journal Article Developmental Cell, 32 (1), pp. 31-42, 2015, ISSN: 15345807, (cited By 52). Abstract | Links | BibTeX | Tags: Acetylation, Animal Behavior, Animal Cell, Animals, Ankrd11 Protein, Ankyrin, Ankyrin Repeat Domain Containing Protein 11, Article, Autism, Autism Spectrum Disorders, Behaviour, Biological Marker, Blotting, Brain Cell Culture, Cell Culture, Cell Differentiation, Cell Proliferation, Cells, Chemistry, Chromatin, Chromatin Immunoprecipitation, Cultured, DNA Binding Protein, DNA Microarray, DNA-Binding Proteins, Enzyme Activity, Female, Gene, Gene Expression Profiling, Gene Targeting, Genetics, Histone, Histone Acetylation, Histone Acetyltransferase, Histone Deacetylase, Histone Deacetylase 3, Histone Deacetylases, Histones, Human, Human Cell, Immunoprecipitation, Messenger, Messenger RNA, Metabolism, Mice, Mouse, Murinae, Mus, Nerve Cell Differentiation, Nervous System Development, Neurogenesis, Nonhuman, Oligonucleotide Array Sequence Analysis, Pathology, Phenotype, Physiology, Point Mutation, Post-Translational, Priority Journal, Protein Expression, Protein Processing, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, Reverse Transcription Polymerase Chain Reaction, RNA, Small Interfering, Small Interfering RNA, Unclassified Drug, Western, Western Blotting @article{Gallagher201531, title = {Ankrd11 is a chromatin regulator involved in autism that is essential for neural development}, author = {D Gallagher and A Voronova and M A Zander and G I Cancino and A Bramall and M P Krause and C Abad and M Tekin and P M Neilsen and D F Callen and S W Scherer and G M Keller and D R Kaplan and K Walz and F D Miller}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922343890&doi=10.1016%2fj.devcel.2014.11.031&partnerID=40&md5=ad7b8bd3ead790f092e1d8a276d4f25c}, doi = {10.1016/j.devcel.2014.11.031}, issn = {15345807}, year = {2015}, date = {2015-01-01}, journal = {Developmental Cell}, volume = {32}, number = {1}, pages = {31-42}, publisher = {Cell Press}, abstract = {Ankrd11 is a potential chromatin regulator implicated in neural development and autism spectrum disorder (ASD) with no known function in the brain. Here, we show that knockdown of Ankrd11 in developing murine or human cortical neural precursors caused decreased proliferation, reduced neurogenesis, andaberrant neuronal positioning. Similar cellular phenotypes and aberrant ASD-like behaviors were observed in Yoda mice carrying a point mutation inthe Ankrd11 HDAC-binding domain. Consistent with a role for Ankrd11 in histone acetylation, Ankrd11 was associated with chromatin and colocalized with HDAC3, and expression and histone acetylation of Ankrd11 target genes were altered in Yoda neural precursors. Moreover, the Ankrd11 knockdown-mediated decrease in precursor proliferation was rescued by inhibiting histone acetyltransferase activity or expressing HDAC3. Thus, Ankrd11 is a crucial chromatin regulator that controls histone acetylation and gene expression during neural development, thereby providing a likely explanation for its association with cognitive dysfunction and ASD. © 2015 Elsevier Inc.}, note = {cited By 52}, keywords = {Acetylation, Animal Behavior, Animal Cell, Animals, Ankrd11 Protein, Ankyrin, Ankyrin Repeat Domain Containing Protein 11, Article, Autism, Autism Spectrum Disorders, Behaviour, Biological Marker, Blotting, Brain Cell Culture, Cell Culture, Cell Differentiation, Cell Proliferation, Cells, Chemistry, Chromatin, Chromatin Immunoprecipitation, Cultured, DNA Binding Protein, DNA Microarray, DNA-Binding Proteins, Enzyme Activity, Female, Gene, Gene Expression Profiling, Gene Targeting, Genetics, Histone, Histone Acetylation, Histone Acetyltransferase, Histone Deacetylase, Histone Deacetylase 3, Histone Deacetylases, Histones, Human, Human Cell, Immunoprecipitation, Messenger, Messenger RNA, Metabolism, Mice, Mouse, Murinae, Mus, Nerve Cell Differentiation, Nervous System Development, Neurogenesis, Nonhuman, Oligonucleotide Array Sequence Analysis, Pathology, Phenotype, Physiology, Point Mutation, Post-Translational, Priority Journal, Protein Expression, Protein Processing, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, Reverse Transcription Polymerase Chain Reaction, RNA, Small Interfering, Small Interfering RNA, Unclassified Drug, Western, Western Blotting}, pubstate = {published}, tppubtype = {article} } Ankrd11 is a potential chromatin regulator implicated in neural development and autism spectrum disorder (ASD) with no known function in the brain. Here, we show that knockdown of Ankrd11 in developing murine or human cortical neural precursors caused decreased proliferation, reduced neurogenesis, andaberrant neuronal positioning. Similar cellular phenotypes and aberrant ASD-like behaviors were observed in Yoda mice carrying a point mutation inthe Ankrd11 HDAC-binding domain. Consistent with a role for Ankrd11 in histone acetylation, Ankrd11 was associated with chromatin and colocalized with HDAC3, and expression and histone acetylation of Ankrd11 target genes were altered in Yoda neural precursors. Moreover, the Ankrd11 knockdown-mediated decrease in precursor proliferation was rescued by inhibiting histone acetyltransferase activity or expressing HDAC3. Thus, Ankrd11 is a crucial chromatin regulator that controls histone acetylation and gene expression during neural development, thereby providing a likely explanation for its association with cognitive dysfunction and ASD. © 2015 Elsevier Inc. |
Rahim, M H B A; Zamin, N AUTISTHERAPIBOT: Autonomous robotic autism therapists assistant for autistic children Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 1). Abstract | Links | BibTeX | Tags: Asperger Syndrome, Assistant Robot, Autism Spectrum Disorders, Autonomous Robotics, Diseases, Learning, Manufacture, Process of Learning, Robotics, Robots, Traditional Learning @conference{Rahim2015248, title = {AUTISTHERAPIBOT: Autonomous robotic autism therapists assistant for autistic children}, author = {M H B A Rahim and N Zamin}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959477969&doi=10.1109%2fROMA.2014.7295896&partnerID=40&md5=97aba13712e291d19218c277f557e204}, doi = {10.1109/ROMA.2014.7295896}, isbn = {9781479957651}, year = {2015}, date = {2015-01-01}, journal = {2014 IEEE International Symposium on Robotics and Manufacturing Automation, IEEE-ROMA2014}, pages = {248-253}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Recent studies unravels that Autistic Spectrum Disorder which include Asperger Syndrome have many bad impacts. Among the symptoms of ASD are difficulties to focus that leads to difficulties in learning especially to those ASD children. Thus, the objective of this project is to investigate the current teaching method used by the autism therapists and solve the weaknesses via robotic means. The NXT will be used in order to aid the therapists in educating those children with ASD. Upon the completion of the prototype, it will be tested against the autistic children to check on the efficacy of the developed prototype. The project will focus on how to attract the autistic children into learning via the usage of robotic application. In a preliminary investigation, multiple robotic designs and programming approach are studied to produce a robotic application that can assist therapists and engage with the target autistic children in order to facilitate their process of learning. Interviews with the therapists and live observation at the selected special school are conducted to understand the traditional learning process that are used by the therapists and identify the weaknesses in it to improvise it. The significance of this robotic application is to fulfill the depravedness in the learning capabilities of the autistic children and also to assist the therapists in their daily routine. © 2014 IEEE.}, note = {cited By 1}, keywords = {Asperger Syndrome, Assistant Robot, Autism Spectrum Disorders, Autonomous Robotics, Diseases, Learning, Manufacture, Process of Learning, Robotics, Robots, Traditional Learning}, pubstate = {published}, tppubtype = {conference} } Recent studies unravels that Autistic Spectrum Disorder which include Asperger Syndrome have many bad impacts. Among the symptoms of ASD are difficulties to focus that leads to difficulties in learning especially to those ASD children. Thus, the objective of this project is to investigate the current teaching method used by the autism therapists and solve the weaknesses via robotic means. The NXT will be used in order to aid the therapists in educating those children with ASD. Upon the completion of the prototype, it will be tested against the autistic children to check on the efficacy of the developed prototype. The project will focus on how to attract the autistic children into learning via the usage of robotic application. In a preliminary investigation, multiple robotic designs and programming approach are studied to produce a robotic application that can assist therapists and engage with the target autistic children in order to facilitate their process of learning. Interviews with the therapists and live observation at the selected special school are conducted to understand the traditional learning process that are used by the therapists and identify the weaknesses in it to improvise it. The significance of this robotic application is to fulfill the depravedness in the learning capabilities of the autistic children and also to assist the therapists in their daily routine. © 2014 IEEE. |
Aziz, A A; Moganan, F F M; Ismail, A; Lokman, A M Autistic Children's Kansei Responses Towards Humanoid-Robot as Teaching Mediator Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 6). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Spectrum Disorders, Children with Autism, Diseases, Education, Emotion, Emotion Extractions, Humanoid Robot, Humanoid Robot NAO, Intelligent Control, Interaction Modules, Kansei Engineering, Robotics, Robots, Smart Sensors, Social Communications @conference{Aziz2015488, title = {Autistic Children's Kansei Responses Towards Humanoid-Robot as Teaching Mediator}, author = {A A Aziz and F F M Moganan and A Ismail and A M Lokman}, editor = {Miskon M F Yussof H.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962865419&doi=10.1016%2fj.procs.2015.12.322&partnerID=40&md5=2406a6eb6d803f72684751a8aab37868}, doi = {10.1016/j.procs.2015.12.322}, issn = {18770509}, year = {2015}, date = {2015-01-01}, journal = {Procedia Computer Science}, volume = {76}, pages = {488-493}, publisher = {Elsevier B.V.}, abstract = {Autism is often being associated with the deficits in social communication, interaction as well as imagination. Autistic patients may experience the impairment in social interaction usually being related to their inability to interpret others' emotion and even to express their own feelings. As a result, children with autism are often been labeled as lacking the ability to express their emotion. The main objective of this paper is to present a pilot study in studying the autistic children's' emotions and feelings upon being triggered by the humanoid-robot, NAO. Kansei Engineering, which is a powerful emotion extraction mechanism is adopted in the study to assess the children's' emotion. The experiment involved two autistic children and one normal child who were given four interaction modules in separate intervention session. The experiment conducted is to observe how robot triggers the emotion of these children. The result shows that different types of modules which would trigger different emotional reactions. This result provides a basis for further investigation of the assessment of autistic children's feeling and emotion. The result will ultimately contribute to finding best possible therapy for autistic children towards the used of humanoid-robot.}, note = {cited By 6}, keywords = {Anthropomorphic Robots, Autism Spectrum Disorders, Children with Autism, Diseases, Education, Emotion, Emotion Extractions, Humanoid Robot, Humanoid Robot NAO, Intelligent Control, Interaction Modules, Kansei Engineering, Robotics, Robots, Smart Sensors, Social Communications}, pubstate = {published}, tppubtype = {conference} } Autism is often being associated with the deficits in social communication, interaction as well as imagination. Autistic patients may experience the impairment in social interaction usually being related to their inability to interpret others' emotion and even to express their own feelings. As a result, children with autism are often been labeled as lacking the ability to express their emotion. The main objective of this paper is to present a pilot study in studying the autistic children's' emotions and feelings upon being triggered by the humanoid-robot, NAO. Kansei Engineering, which is a powerful emotion extraction mechanism is adopted in the study to assess the children's' emotion. The experiment involved two autistic children and one normal child who were given four interaction modules in separate intervention session. The experiment conducted is to observe how robot triggers the emotion of these children. The result shows that different types of modules which would trigger different emotional reactions. This result provides a basis for further investigation of the assessment of autistic children's feeling and emotion. The result will ultimately contribute to finding best possible therapy for autistic children towards the used of humanoid-robot. |
Fauzan, Norsiah; Amran, Nur Hurunain Brain Waves and Connectivity of Autism Spectrum Disorders Inproceedings Bekirogullari, Z; Minas, MY (Ed.): 5TH ICEEPSY INTERNATIONAL CONFERENCE ON EDUCATION & EDUCATIONAL PSYCHOLOGY, pp. 882-890, Future Academy ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2015, ISSN: 1877-0428, (5th International Conference on Education & Educational Psychology (ICEEPSY), Kyrenia, CYPRUS, OCT 22-25, 2014). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Brain Wave, QEEG @inproceedings{ISI:000380543800120, title = {Brain Waves and Connectivity of Autism Spectrum Disorders}, author = {Norsiah Fauzan and Nur Hurunain Amran}, editor = {Z Bekirogullari and MY Minas}, url = {https://pdf.sciencedirectassets.com/277811/1-s2.0-S1877042815X00061/1-s2.0-S1877042815002347/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEAsaCXVzLWVhc3QtMSJIMEYCIQCgm5PeRjGuJs%2FUJb%2BNRF%2FWOFfuvUoMVHjXanlp25wBHwIhALQ2wmeXLsf9Rwq%2BX5WzF6rDMgvq7%2FX%2B7b0gX7FY4ooLKrQDCHQQAxoMMDU5MDAzNTQ2ODY1IgwLb5F7Uc008rTH9UYqkQNoEwl1YQO5kKEWlcB64xCjkqHQR4YbwYP4hoq1ILkkNKRhpv9o0bgb4UoPtpCS3%2BrUKbq8SCssGlDSsYBOVNHg2JLk303rPtinQGqPLbsYTJBd3VuPGSSoYboGqw3f3vBFDihnbsQuXoxGSqArfdcjoqqKqmun8%2BLoGDNj2McefVVziMlr%2FVsnAaaEa3DXvl%2BznaHSmmBLokwqeFOwf7DTdhaXn7O%2FlvCL68PdqZP0%2B8B76%2BJoCwoEwSl6vMTUosyB4tX2o4J%2B9ReEBtt98vRJldpAmW%2BYRO5Z93anjAmHhQvBKzDRkj5TBDASLdSMQRWr4EeUd7kF6m7QRqyibaF7HpjSLPQKx8FhlaL1XcRywVrMep5lfyFt%2F6C6fKfBqnJrSuNuRMW%2FRHXe7lBoufeNwj2d0NGoRYPO6FP2ReQ373cxKSLPdB6%2FtAXNIpjEc8PmQ%2BaD76gCEJKGUz8HUmd4VIOvqgiHMlH%2BUtklSWT9ofGwXbI8ljjEbIZ7jRZvfkQofijAkWx1Bqtl6WwSp0ClIDDB%2BN32BTrqATHRS5TGPB%2FtpLkMp1SeRhw67lD1SEncVtt5WKOlp9iOLhOCGUROuKcBbWP3hFkdJ2gdLGMBlsvNusF%2F1vMxEYQwhtZYe%2FYspLIS0D7cZx87qN%2B4qhbz6Xfn7XQgCEniAIxzqFYVF%2BM5YHS1Y6wpgPIsT85vSfsAWj3EK48PSGHCCGUuAgVmHvJY7RlpV%2B4gBFr6aVq2%2BybUBafN4G72V3soNviOzrAO42rblQZEY8YP369XAxzVu1691UwONrNifuchvJ4aaAqwJAnJI1z3oNgzR3BuIRN9apZEnjkd1rL%2FKh%2BMFWumYxKU8A%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200603T113652Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY2RAPNZV2%2F20200603%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=963068d8a700ef6051eb168352d5514f3a2c59bbe4897a18021ed88fcd357787&hash=1bae837f1d781ff8448ddf60adea3c53a296f68f7532cb7ab2f863b30738404c&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1877042815002347&tid=spdf-5ece5ae3-a73e-4022-aa3d-631da67f5366&sid=233beaf1712ca3410b898ab8a955e0798a8fgxrqb&type=client}, doi = {10.1016/j.sbspro.2015.01.204}, issn = {1877-0428}, year = {2015}, date = {2015-01-01}, booktitle = {5TH ICEEPSY INTERNATIONAL CONFERENCE ON EDUCATION & EDUCATIONAL PSYCHOLOGY}, volume = {171}, pages = {882-890}, publisher = {ELSEVIER SCIENCE BV}, address = {SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}, organization = {Future Academy}, series = {Procedia Social and Behavioral Sciences}, abstract = {This research reports the brain waave pattern of individuals with ASD and to pinpoint the anomalies of ASD and its difference with the normal group. The findings revealed a general disruption in the overall connectivity of the different lobes known as hyper or hypo connectivity with excessive presence of slow wave (delta) at the frontal lobe and deficiency of beta in most of the brain regions. Other anomalies includes low alpha at the sensory motor regions, excess alpha in the left hemisphere and excess theta in the right frontal region. These anomalies explain the associated problem in attention, anxiety and social behaviors of ASD. (C) 2015 The Authors. Published by Elsevier Ltd.}, note = {5th International Conference on Education & Educational Psychology (ICEEPSY), Kyrenia, CYPRUS, OCT 22-25, 2014}, keywords = {Autism Spectrum Disorders, Brain Wave, QEEG}, pubstate = {published}, tppubtype = {inproceedings} } This research reports the brain waave pattern of individuals with ASD and to pinpoint the anomalies of ASD and its difference with the normal group. The findings revealed a general disruption in the overall connectivity of the different lobes known as hyper or hypo connectivity with excessive presence of slow wave (delta) at the frontal lobe and deficiency of beta in most of the brain regions. Other anomalies includes low alpha at the sensory motor regions, excess alpha in the left hemisphere and excess theta in the right frontal region. These anomalies explain the associated problem in attention, anxiety and social behaviors of ASD. (C) 2015 The Authors. Published by Elsevier Ltd. |
Khir, N H B M; Ismail, M; Jamil, N; Razak, F H A Can spatiotemporal gait analysis identify a child with Autistic Spectrum Disorder? Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 0). Abstract | Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Children with Autism, Critical Analysis, Diseases, Economic and Social Effects, Gait Analysis, Gait Pattern, Literature Reviews, Manufacture, Quantitative Study, Robotics, Spatiotemporal @conference{Khir2015115, title = {Can spatiotemporal gait analysis identify a child with Autistic Spectrum Disorder?}, author = {N H B M Khir and M Ismail and N Jamil and F H A Razak}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959505294&doi=10.1109%2fROMA.2014.7295872&partnerID=40&md5=dbaae7a86b78fa037d60f4b944ed2dc6}, doi = {10.1109/ROMA.2014.7295872}, isbn = {9781479957651}, year = {2015}, date = {2015-01-01}, journal = {2014 IEEE International Symposium on Robotics and Manufacturing Automation, IEEE-ROMA2014}, pages = {115-119}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {The aim of this study is to investigate the ability of spatiotemporal gait analysis to identify the Autistic Spectrum Disorder child (ASD). Even though the interest in gait analysis is becoming popular among researchers these days, yet very few quantitative studies are done on children with autism. Since motor development is not influenced by both social and linguistic development, it is believed to be a probable bio-marker of autism. The spatiotemporal gait pattern is being explored to understand the difference it may bring upon in the future. Six findings from previous researches are reviewed and analyzed to understand the crucial factor involves in this research. From the literature review and critical analysis done, spatiotemporal gait analysis may be used to identify the ASD child because the gait patterns of ASD child are discovered to be different from normal children. © 2014 IEEE.}, note = {cited By 0}, keywords = {Autism, Autism Spectrum Disorders, Children with Autism, Critical Analysis, Diseases, Economic and Social Effects, Gait Analysis, Gait Pattern, Literature Reviews, Manufacture, Quantitative Study, Robotics, Spatiotemporal}, pubstate = {published}, tppubtype = {conference} } The aim of this study is to investigate the ability of spatiotemporal gait analysis to identify the Autistic Spectrum Disorder child (ASD). Even though the interest in gait analysis is becoming popular among researchers these days, yet very few quantitative studies are done on children with autism. Since motor development is not influenced by both social and linguistic development, it is believed to be a probable bio-marker of autism. The spatiotemporal gait pattern is being explored to understand the difference it may bring upon in the future. Six findings from previous researches are reviewed and analyzed to understand the crucial factor involves in this research. From the literature review and critical analysis done, spatiotemporal gait analysis may be used to identify the ASD child because the gait patterns of ASD child are discovered to be different from normal children. © 2014 IEEE. |
Khosrowabadi, R; Quek, C; Ang, K K; Wahab, A; Chen, Annabel S -H Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions Journal Article Applied Soft Computing Journal, 32 , pp. 335-346, 2015, ISSN: 15684946, (cited By 6). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Biomedical Signal Processing, Brain, Connectivity Feature, Connectivity Pattern, Diseases, Electroencephalography, Face Perceptions, Feature Extraction, Functional Connectivity, Pattern Recognition, Pattern Recognition Techniques @article{Khosrowabadi2015335, title = {Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions}, author = {R Khosrowabadi and C Quek and K K Ang and A Wahab and S -H Annabel Chen}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927922520&doi=10.1016%2fj.asoc.2015.03.030&partnerID=40&md5=5973f80db5649e5c61e344907819a18b}, doi = {10.1016/j.asoc.2015.03.030}, issn = {15684946}, year = {2015}, date = {2015-01-01}, journal = {Applied Soft Computing Journal}, volume = {32}, pages = {335-346}, publisher = {Elsevier Ltd}, abstract = {In this study, a dynamic screening strategy is proposed to discriminate subjects with autistic spectrum disorder (ASD) from healthy controls. The ASD is defined as a neurodevelopmental disorder that disrupts normal patterns of connectivity between the brain regions. Therefore, the potential use of such abnormality for autism screening is investigated. The connectivity patterns are estimated from electroencephalogram (EEG) data collected from 8 brain regions under various mental states. The EEG data of 12 healthy controls and 6 autistic children (age matched in 7-10) were collected during eyes-open and eyes-close resting states as well as when subjects were exposed to affective faces (happy, sad and calm). Subsequently, the subjects were classified as autistic or healthy groups based on their brain connectivity patterns using pattern recognition techniques. Performance of the proposed system in each mental state is separately evaluated. The results present higher recognition rates using functional connectivity features when compared against other existing feature extraction methods. © 2015 Published by Elsevier B.V.}, note = {cited By 6}, keywords = {Autism Spectrum Disorders, Biomedical Signal Processing, Brain, Connectivity Feature, Connectivity Pattern, Diseases, Electroencephalography, Face Perceptions, Feature Extraction, Functional Connectivity, Pattern Recognition, Pattern Recognition Techniques}, pubstate = {published}, tppubtype = {article} } In this study, a dynamic screening strategy is proposed to discriminate subjects with autistic spectrum disorder (ASD) from healthy controls. The ASD is defined as a neurodevelopmental disorder that disrupts normal patterns of connectivity between the brain regions. Therefore, the potential use of such abnormality for autism screening is investigated. The connectivity patterns are estimated from electroencephalogram (EEG) data collected from 8 brain regions under various mental states. The EEG data of 12 healthy controls and 6 autistic children (age matched in 7-10) were collected during eyes-open and eyes-close resting states as well as when subjects were exposed to affective faces (happy, sad and calm). Subsequently, the subjects were classified as autistic or healthy groups based on their brain connectivity patterns using pattern recognition techniques. Performance of the proposed system in each mental state is separately evaluated. The results present higher recognition rates using functional connectivity features when compared against other existing feature extraction methods. © 2015 Published by Elsevier B.V. |
Mandasari, V; Theng, L B Enhancing the acquisition of social skills through the interactivity of multimedia Book IGI Global, 2015, ISBN: 9781466686151; 1466686146; 9781466686144, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Brain Abnormalities, Developmental Disorders, Education, Effective Tool, Interactivity, Pedagogical Tools, Social Behaviour, Social Skills, Teaching @book{Mandasari20151430, title = {Enhancing the acquisition of social skills through the interactivity of multimedia}, author = {V Mandasari and L B Theng}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958609292&doi=10.4018%2f978-1-4666-8614-4.ch065&partnerID=40&md5=85be5b68f81521c510657862d202e50c}, doi = {10.4018/978-1-4666-8614-4.ch065}, isbn = {9781466686151; 1466686146; 9781466686144}, year = {2015}, date = {2015-01-01}, journal = {Social Media and Networking: Concepts, Methodologies, Tools, and Applications}, volume = {3-4}, pages = {1430-1462}, publisher = {IGI Global}, abstract = {Autism Spectrum Disorders (ASD) are a group of neuro-developmental disorders caused by brain abnormalities which result in impaired social story. Research on treatment in helping children with ASD to improve social story is growing as the cases of children diagnosed with ASD are on the rise. Social story is one of the proven methods of treatment in helping children with ASD to acquire social story through scenarios written in the form of stories. However, the current approaches to present the social story lack interactivity, consuming more intensive efforts to acquire the social story. Learning is most effectual when motivated; thus, the purpose of this study is to discover a learning tool that children with ASD will be motivated to learn independently, and it is achievable by combining elements that they are interested in. This research utilizes the interactivity of multimedia as a medium to present an interactive pedagogical tool for children with ASD to acquire social story. This combination is anticipated to be an effective tool in teaching social story to children with ASD, as they are naturally drawn to computers and visual cues, combined with the fact that Social Story™ has been effective in changing the social behavior of children with ASD. Thus, this study has contributed to the emergent research of treatment for children with ASD in social story acquisition. The result of this study is important as it presents a novel assistance that can be used effectively in assisting children with ASD to improve their main deficit, social story. © 2016, IGI Global. All rights reserved.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Brain Abnormalities, Developmental Disorders, Education, Effective Tool, Interactivity, Pedagogical Tools, Social Behaviour, Social Skills, Teaching}, pubstate = {published}, tppubtype = {book} } Autism Spectrum Disorders (ASD) are a group of neuro-developmental disorders caused by brain abnormalities which result in impaired social story. Research on treatment in helping children with ASD to improve social story is growing as the cases of children diagnosed with ASD are on the rise. Social story is one of the proven methods of treatment in helping children with ASD to acquire social story through scenarios written in the form of stories. However, the current approaches to present the social story lack interactivity, consuming more intensive efforts to acquire the social story. Learning is most effectual when motivated; thus, the purpose of this study is to discover a learning tool that children with ASD will be motivated to learn independently, and it is achievable by combining elements that they are interested in. This research utilizes the interactivity of multimedia as a medium to present an interactive pedagogical tool for children with ASD to acquire social story. This combination is anticipated to be an effective tool in teaching social story to children with ASD, as they are naturally drawn to computers and visual cues, combined with the fact that Social Story™ has been effective in changing the social behavior of children with ASD. Thus, this study has contributed to the emergent research of treatment for children with ASD in social story acquisition. The result of this study is important as it presents a novel assistance that can be used effectively in assisting children with ASD to improve their main deficit, social story. © 2016, IGI Global. All rights reserved. |
Jamil, N; Khir, N H M; Ismail, M; Razak, F H A Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 4). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Children with Autism, Data Acquisition, Diseases, Emotion, Emotion Detection, Emotion Recognition, Emotional State, Facial Expression, Gait Analysis, Intelligent Control, Nonverbal Communication, Pattern Recognition, Robotics, Smart Sensors, Social Communications, Speech Recognition @conference{Jamil2015342, title = {Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation}, author = {N Jamil and N H M Khir and M Ismail and F H A Razak}, editor = {Miskon M F Yussof H.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962833568&doi=10.1016%2fj.procs.2015.12.305&partnerID=40&md5=6893678f1ed83b87147ff9183b94428b}, doi = {10.1016/j.procs.2015.12.305}, issn = {18770509}, year = {2015}, date = {2015-01-01}, journal = {Procedia Computer Science}, volume = {76}, pages = {342-348}, publisher = {Elsevier B.V.}, abstract = {With the disturbing increase of children with Autism Spectrum Disorder (ASD) in Malaysia, a lot of efforts and studies are put forward towards understanding and managing matters related to ASD. One way is to find means of easing the social communications among these children and their caretakers, particularly during intervention. If the caretaker is able to comprehend the children emotional state of mind prior to therapy, some sort of trust and attachment will be developed. However, regulating emotions is a challenge to these children. Nonverbal communication such as facial expression is difficult for ASD children. Therefore, we proposed the use of walking patterns (i.e. gait) to detect the type of emotions of ASD children. Even though using gait for emotion recognition is common among normal individuals, none can be found done on children with ASD. Thus, the aim of this paper is to conduct a preliminary review on the possibilities of carrying out gait-based emotion detection among ASD children with regards to the emotional types, gait parameters and methods of gait data acquisition. © 2015 The Authors.}, note = {cited By 4}, keywords = {Autism Spectrum Disorders, Children with Autism, Data Acquisition, Diseases, Emotion, Emotion Detection, Emotion Recognition, Emotional State, Facial Expression, Gait Analysis, Intelligent Control, Nonverbal Communication, Pattern Recognition, Robotics, Smart Sensors, Social Communications, Speech Recognition}, pubstate = {published}, tppubtype = {conference} } With the disturbing increase of children with Autism Spectrum Disorder (ASD) in Malaysia, a lot of efforts and studies are put forward towards understanding and managing matters related to ASD. One way is to find means of easing the social communications among these children and their caretakers, particularly during intervention. If the caretaker is able to comprehend the children emotional state of mind prior to therapy, some sort of trust and attachment will be developed. However, regulating emotions is a challenge to these children. Nonverbal communication such as facial expression is difficult for ASD children. Therefore, we proposed the use of walking patterns (i.e. gait) to detect the type of emotions of ASD children. Even though using gait for emotion recognition is common among normal individuals, none can be found done on children with ASD. Thus, the aim of this paper is to conduct a preliminary review on the possibilities of carrying out gait-based emotion detection among ASD children with regards to the emotional types, gait parameters and methods of gait data acquisition. © 2015 The Authors. |
Khowaja, K; Salim, S S Heuristics to evaluate interactive systems for children with Autism Spectrum Disorder (ASD) Journal Article PLoS ONE, 10 (7), 2015, ISSN: 19326203, (cited By 12). Abstract | Links | BibTeX | Tags: Adult, Article, Autism, Autism Spectrum Disorders, Bibliographic Database, Children, Computer Interface, Computer Program, Controlled Study, Evaluation Study, Female, Heuristics, Human, Information System, Interactive System, Interrater Reliability, Male, Practice Guideline, Questionnaires, Software, Surveys @article{Khowaja2015, title = {Heuristics to evaluate interactive systems for children with Autism Spectrum Disorder (ASD)}, author = {K Khowaja and S S Salim}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941313427&doi=10.1371%2fjournal.pone.0132187&partnerID=40&md5=60f3ee4a32fd71be4b842755a58527cf}, doi = {10.1371/journal.pone.0132187}, issn = {19326203}, year = {2015}, date = {2015-01-01}, journal = {PLoS ONE}, volume = {10}, number = {7}, publisher = {Public Library of Science}, abstract = {In this paper, we adapted and expanded a set of guidelines, also known as heuristics, to evaluate the usability of software to now be appropriate for software aimed at children with autism spectrum disorder (ASD). We started from the heuristics developed by Nielsen in 1990 and developed a modified set of 15 heuristics. The first 5 heuristics of this set are the same as those of the original Nielsen set, the next 5 heuristics are improved versions of Nielsen's, whereas the last 5 heuristics are new. We present two evaluation studies of our new heuristics. In the first, two groups compared Nielsen's set with the modified set of heuristics, with each group evaluating two interactive systems. The Nielsen's heuristics were assigned to the control group while the experimental group was given the modified set of heuristics, and a statistical analysis was conducted to determine the effectiveness of the modified set, the contribution of 5 new heuristics and the impact of 5 improved heuristics. The results show that the modified set is significantly more effective than the original, and we found a significant difference between the five improved heuristics and their corresponding heuristics in the original set. The five new heuristics are effective in problem identification using the modified set. The second study was conducted using a system which was developed to ascertain if the modified set was effective at identifying usability problems that could be fixed before the release of software. The post-study analysis revealed that the majority of the usability problems identified by the experts were fixed in the updated version of the system. © 2015 Khowaja, Salim.}, note = {cited By 12}, keywords = {Adult, Article, Autism, Autism Spectrum Disorders, Bibliographic Database, Children, Computer Interface, Computer Program, Controlled Study, Evaluation Study, Female, Heuristics, Human, Information System, Interactive System, Interrater Reliability, Male, Practice Guideline, Questionnaires, Software, Surveys}, pubstate = {published}, tppubtype = {article} } In this paper, we adapted and expanded a set of guidelines, also known as heuristics, to evaluate the usability of software to now be appropriate for software aimed at children with autism spectrum disorder (ASD). We started from the heuristics developed by Nielsen in 1990 and developed a modified set of 15 heuristics. The first 5 heuristics of this set are the same as those of the original Nielsen set, the next 5 heuristics are improved versions of Nielsen's, whereas the last 5 heuristics are new. We present two evaluation studies of our new heuristics. In the first, two groups compared Nielsen's set with the modified set of heuristics, with each group evaluating two interactive systems. The Nielsen's heuristics were assigned to the control group while the experimental group was given the modified set of heuristics, and a statistical analysis was conducted to determine the effectiveness of the modified set, the contribution of 5 new heuristics and the impact of 5 improved heuristics. The results show that the modified set is significantly more effective than the original, and we found a significant difference between the five improved heuristics and their corresponding heuristics in the original set. The five new heuristics are effective in problem identification using the modified set. The second study was conducted using a system which was developed to ascertain if the modified set was effective at identifying usability problems that could be fixed before the release of software. The post-study analysis revealed that the majority of the usability problems identified by the experts were fixed in the updated version of the system. © 2015 Khowaja, Salim. |
2014 |
Bhat, S; Acharya, U R; Adeli, H; Bairy, G M; Adeli, A Autism: Cause factors, early diagnosis and therapies Journal Article Reviews in the Neurosciences, 25 (6), pp. 841-850, 2014, ISSN: 03341763, (cited By 52). Abstract | Links | BibTeX | Tags: 4 Aminobutyric Acid, Adolescent, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Article, Assistive Technology, Attention, Autism, Autism Spectrum Disorders, Behaviour Therapy, Biological Marker, Brain, Child Development Disorders, Children, Cognition, Cystine, Developmental Disorders, Diseases, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emotion, Facial Expression, Functional Magnetic Resonance Imaging, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Human, Infant, Interpersonal Communication, Methionine, Nervous System Inflammation, Neurobiology, Neurofeedback, Oxidative Stress, Pervasive, Physiology, Preschool Child, Priority Journal, Psychoeducation, School Child, Social Interactions, Speech Therapy, Virtual Reality, Zonisamide @article{Bhat2014841, title = {Autism: Cause factors, early diagnosis and therapies}, author = {S Bhat and U R Acharya and H Adeli and G M Bairy and A Adeli}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925284617&doi=10.1515%2frevneuro-2014-0056&partnerID=40&md5=caaa32e66af70e70ec325241d01564c9}, doi = {10.1515/revneuro-2014-0056}, issn = {03341763}, year = {2014}, date = {2014-01-01}, journal = {Reviews in the Neurosciences}, volume = {25}, number = {6}, pages = {841-850}, publisher = {Walter de Gruyter GmbH}, abstract = {Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 in 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH.}, note = {cited By 52}, keywords = {4 Aminobutyric Acid, Adolescent, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Article, Assistive Technology, Attention, Autism, Autism Spectrum Disorders, Behaviour Therapy, Biological Marker, Brain, Child Development Disorders, Children, Cognition, Cystine, Developmental Disorders, Diseases, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emotion, Facial Expression, Functional Magnetic Resonance Imaging, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Human, Infant, Interpersonal Communication, Methionine, Nervous System Inflammation, Neurobiology, Neurofeedback, Oxidative Stress, Pervasive, Physiology, Preschool Child, Priority Journal, Psychoeducation, School Child, Social Interactions, Speech Therapy, Virtual Reality, Zonisamide}, pubstate = {published}, tppubtype = {article} } Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 in 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH. |
Bhat, S; Acharya, U R; Adeli, H; Bairy, G M; Adeli, A Automated diagnosis of autism: In search of a mathematical marker Journal Article Reviews in the Neurosciences, 25 (6), pp. 851-861, 2014, ISSN: 03341763, (cited By 34). Abstract | Links | BibTeX | Tags: Algorithms, Article, Autism, Autism Spectrum Disorders, Automation, Biological Model, Brain, Chaos Theory, Correlation Analysis, Detrended Fluctuation Analysis, Disease Marker, Electrode, Electroencephalogram, Electroencephalography, Entropy, Fourier Transformation, Fractal Analysis, Frequency Domain Analysis, Human, Mathematical Analysis, Mathematical Marker, Mathematical Parameters, Models, Neurologic Disease, Neurological, Nonlinear Dynamics, Nonlinear System, Pathophysiology, Priority Journal, Procedures, Signal Processing, Statistical Model, Time, Time Frequency Analysis, Wavelet Analysis @article{Bhat2014851, title = {Automated diagnosis of autism: In search of a mathematical marker}, author = {S Bhat and U R Acharya and H Adeli and G M Bairy and A Adeli}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925286949&doi=10.1515%2frevneuro-2014-0036&partnerID=40&md5=04858a5c9860e9027e3113835ca2e11f}, doi = {10.1515/revneuro-2014-0036}, issn = {03341763}, year = {2014}, date = {2014-01-01}, journal = {Reviews in the Neurosciences}, volume = {25}, number = {6}, pages = {851-861}, publisher = {Walter de Gruyter GmbH}, abstract = {Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion, learning ability, and communication of an individual. An early detection of the abnormality, due to irregular processing in the brain, can be achieved using electroencephalograms (EEG). The variations in the EEG signals cannot be deciphered by mere visual inspection. Computer-aided diagnostic tools can be used to recognize the subtle and invisible information present in the irregular EEG pattern and diagnose autism. This paper presents a state-of-theart review of automated EEG-based diagnosis of autism. Various time domain, frequency domain, time-frequency domain, and nonlinear dynamics for the analysis of autistic EEG signals are described briefly. A focus of the review is the use of nonlinear dynamics and chaos theory to discover the mathematical biomarkers for the diagnosis of the autism analogous to biological markers. A combination of the time-frequency and nonlinear dynamic analysis is the most effective approach to characterize the nonstationary and chaotic physiological signals for the automated EEGbased diagnosis of autism spectrum disorder (ASD). The features extracted using these nonlinear methods can be used as mathematical markers to detect the early stage of autism and aid the clinicians in their diagnosis. This will expedite the administration of appropriate therapies to treat the disorder. © 2014 Walter de Gruyter GmbH.}, note = {cited By 34}, keywords = {Algorithms, Article, Autism, Autism Spectrum Disorders, Automation, Biological Model, Brain, Chaos Theory, Correlation Analysis, Detrended Fluctuation Analysis, Disease Marker, Electrode, Electroencephalogram, Electroencephalography, Entropy, Fourier Transformation, Fractal Analysis, Frequency Domain Analysis, Human, Mathematical Analysis, Mathematical Marker, Mathematical Parameters, Models, Neurologic Disease, Neurological, Nonlinear Dynamics, Nonlinear System, Pathophysiology, Priority Journal, Procedures, Signal Processing, Statistical Model, Time, Time Frequency Analysis, Wavelet Analysis}, pubstate = {published}, tppubtype = {article} } Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion, learning ability, and communication of an individual. An early detection of the abnormality, due to irregular processing in the brain, can be achieved using electroencephalograms (EEG). The variations in the EEG signals cannot be deciphered by mere visual inspection. Computer-aided diagnostic tools can be used to recognize the subtle and invisible information present in the irregular EEG pattern and diagnose autism. This paper presents a state-of-theart review of automated EEG-based diagnosis of autism. Various time domain, frequency domain, time-frequency domain, and nonlinear dynamics for the analysis of autistic EEG signals are described briefly. A focus of the review is the use of nonlinear dynamics and chaos theory to discover the mathematical biomarkers for the diagnosis of the autism analogous to biological markers. A combination of the time-frequency and nonlinear dynamic analysis is the most effective approach to characterize the nonstationary and chaotic physiological signals for the automated EEGbased diagnosis of autism spectrum disorder (ASD). The features extracted using these nonlinear methods can be used as mathematical markers to detect the early stage of autism and aid the clinicians in their diagnosis. This will expedite the administration of appropriate therapies to treat the disorder. © 2014 Walter de Gruyter GmbH. |
Shobana, M; Saravanan, C Comparative study on attitudes and psychological problems of mothers towards their children with developmental disability Journal Article East Asian Archives of Psychiatry, 24 (1), pp. 16-22, 2014, ISSN: 20789947, (cited By 6). Abstract | Links | BibTeX | Tags: Adult, Anxiety, Article, Attitude, Autism, Autism Spectrum Disorders, Children, Comparative Study, Depression, Developmental Disabilities, Developmental Disorders, Down Syndrome, Education, Female, General Health Questionnaire 28, Home Care, Hostility, Human, Intellectual Disability, Intellectual Impairment, Major Clinical Study, Malaysia, Male, Mental Disorders, Mother Child Relation, Mothers, Named Inventories, Parental Attitude, Parental Attitude Scale, Prevalence, Psychological Well Being, Questionnaires, Rating Scale, School Child, Social Disability @article{Shobana201416, title = {Comparative study on attitudes and psychological problems of mothers towards their children with developmental disability}, author = {M Shobana and C Saravanan}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898619897&partnerID=40&md5=e877e03b868d1a11ed8f859a33057d5d}, issn = {20789947}, year = {2014}, date = {2014-01-01}, journal = {East Asian Archives of Psychiatry}, volume = {24}, number = {1}, pages = {16-22}, publisher = {Hong Kong Academy of Medicine Press}, abstract = {Objective: Parents' positive attitudes and psychological wellbeing play an important role in the development of the children with developmental disability. This study aimed to measure the prevalence of psychological problems among mothers of children with autism disorder, intellectual disability, and Down syndrome. The second aim was to assess the differences in mothers' attitudes and psychological problems among their children with intellectual disability, autism disorder, and Down syndrome. The third aim was to identify whether negative attitude was a predictor of psychological problems in these mothers. Methods: In this study, 112 mothers of children having mild and moderate levels of autism disorder, Down syndrome, and intellectual disability were assessed using the Parental Attitude Scale and General Health Questionnaire-28. Results: Overall, mothers of children with intellectual disability were found to have the most negative attitude towards their child. Mothers of children with autism disorder exhibited higher scores on somatic symptoms, anxiety, and social dysfunction when compared with their counterparts with Down syndrome and intellectual disability. Negative attitude was a significant predictor of psychological problems. Conclusion: Parental attitudes and psychological problems would vary among mothers of children with different types of developmental disability. © 2014 Hong Kong College of Psychiatrists.}, note = {cited By 6}, keywords = {Adult, Anxiety, Article, Attitude, Autism, Autism Spectrum Disorders, Children, Comparative Study, Depression, Developmental Disabilities, Developmental Disorders, Down Syndrome, Education, Female, General Health Questionnaire 28, Home Care, Hostility, Human, Intellectual Disability, Intellectual Impairment, Major Clinical Study, Malaysia, Male, Mental Disorders, Mother Child Relation, Mothers, Named Inventories, Parental Attitude, Parental Attitude Scale, Prevalence, Psychological Well Being, Questionnaires, Rating Scale, School Child, Social Disability}, pubstate = {published}, tppubtype = {article} } Objective: Parents' positive attitudes and psychological wellbeing play an important role in the development of the children with developmental disability. This study aimed to measure the prevalence of psychological problems among mothers of children with autism disorder, intellectual disability, and Down syndrome. The second aim was to assess the differences in mothers' attitudes and psychological problems among their children with intellectual disability, autism disorder, and Down syndrome. The third aim was to identify whether negative attitude was a predictor of psychological problems in these mothers. Methods: In this study, 112 mothers of children having mild and moderate levels of autism disorder, Down syndrome, and intellectual disability were assessed using the Parental Attitude Scale and General Health Questionnaire-28. Results: Overall, mothers of children with intellectual disability were found to have the most negative attitude towards their child. Mothers of children with autism disorder exhibited higher scores on somatic symptoms, anxiety, and social dysfunction when compared with their counterparts with Down syndrome and intellectual disability. Negative attitude was a significant predictor of psychological problems. Conclusion: Parental attitudes and psychological problems would vary among mothers of children with different types of developmental disability. © 2014 Hong Kong College of Psychiatrists. |
2013 |
Freeth, M; Sheppard, E; Ramachandran, R; Milne, E A cross-cultural comparison of autistic traits in the UK, India and Malaysia Journal Article Journal of Autism and Developmental Disorders, 43 (11), pp. 2569-2583, 2013, ISSN: 01623257, (cited By 39). Abstract | Links | BibTeX | Tags: Adolescent, Adult, Article, Asian Continental Ancestry Group, Attention, Autism, Autism Spectrum Disorders, Autism Spectrum Quotient, Communication Skills, Comparative Study, Cross-Cultural Comparison, Cultural Factor, Ethnicity, Female, Great Britain, Human, Human Experiment, Imagination, India, Indian, Malaysia, Male, Personality, Phenotype, Postgraduate Student, Priority Journal, Psychometry, Questionnaires, Sex Factors, Social Adaptation, Spectrum, Students, Undergraduate Student, United Kingdom, Young Adult @article{Freeth20132569, title = {A cross-cultural comparison of autistic traits in the UK, India and Malaysia}, author = {M Freeth and E Sheppard and R Ramachandran and E Milne}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886802970&doi=10.1007%2fs10803-013-1808-9&partnerID=40&md5=d8acde51c0626be3862facc1d6bc493c}, doi = {10.1007/s10803-013-1808-9}, issn = {01623257}, year = {2013}, date = {2013-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {43}, number = {11}, pages = {2569-2583}, abstract = {The disorder of autism is widely recognised throughout the world. However, the diagnostic criteria and theories of autism are based on research predominantly conducted in Western cultures. Here we compare the expression of autistic traits in a sample of neurotypical individuals from one Western culture (UK) and two Eastern cultures (India and Malaysia), using the Autism-spectrum Quotient (AQ) in order to identify possible cultural differences in the expression of autistic traits. Behaviours associated with autistic traits were reported to a greater extent in the Eastern cultures than the Western culture. Males scored higher than females and science students scored higher than non-science students in each culture. Indian students scored higher than both other groups on the Imagination sub-scale, Malaysian students scored higher than both other groups on the Attention Switching sub-scale. The underlying factor structures of the AQ for each population were derived and discussed. © 2013 Springer Science+Business Media New York.}, note = {cited By 39}, keywords = {Adolescent, Adult, Article, Asian Continental Ancestry Group, Attention, Autism, Autism Spectrum Disorders, Autism Spectrum Quotient, Communication Skills, Comparative Study, Cross-Cultural Comparison, Cultural Factor, Ethnicity, Female, Great Britain, Human, Human Experiment, Imagination, India, Indian, Malaysia, Male, Personality, Phenotype, Postgraduate Student, Priority Journal, Psychometry, Questionnaires, Sex Factors, Social Adaptation, Spectrum, Students, Undergraduate Student, United Kingdom, Young Adult}, pubstate = {published}, tppubtype = {article} } The disorder of autism is widely recognised throughout the world. However, the diagnostic criteria and theories of autism are based on research predominantly conducted in Western cultures. Here we compare the expression of autistic traits in a sample of neurotypical individuals from one Western culture (UK) and two Eastern cultures (India and Malaysia), using the Autism-spectrum Quotient (AQ) in order to identify possible cultural differences in the expression of autistic traits. Behaviours associated with autistic traits were reported to a greater extent in the Eastern cultures than the Western culture. Males scored higher than females and science students scored higher than non-science students in each culture. Indian students scored higher than both other groups on the Imagination sub-scale, Malaysian students scored higher than both other groups on the Attention Switching sub-scale. The underlying factor structures of the AQ for each population were derived and discussed. © 2013 Springer Science+Business Media New York. |
Manap, A A; Dehkordi, S R; Rias, R M; Sardan, N A Atlantis Press, 2013, ISBN: 9789462520028, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Brain Development, Children with Autism, Complex Disorder, Computer Games, Computer Graphics, Computer Vision, Diseases, Education, Games, Semi Structured Interviews, Social Communications, Social Skills, Surveys, Teaching @conference{Manap201326, title = {Computer game approach focusing on social communication skills for children with Autism Spectrum Disorder: An initial study}, author = {A A Manap and S R Dehkordi and R M Rias and N A Sardan}, editor = {Soewito Bououdina B M Chen M.-S. Gaol F.L.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937138693&partnerID=40&md5=0a35258c8d4d2f61296da695c5ef765f}, isbn = {9789462520028}, year = {2013}, date = {2013-01-01}, journal = {2013 International Conference on Computer Graphics, Visualization, Computer Vision, and Game Technology, VisioGame 2013}, pages = {26-31}, publisher = {Atlantis Press}, abstract = {Autism Spectrum Disorders (ASD) and autism are both general terms for a group of complex disorders of brain development. ASD is characterized by difficulties with communication, social deficits, stereotyped or repetitive behaviours and interests. One of the major reasons behind the push to use technology and multimedia to assist interaction with children diagnosed with ASD is that they have shown a preference for, as well as a fascination with, "visual stimuli" such as computer applications, games, and videos. Primordial purpose of this study is to synthesize a survey regarding social problems and situations faced by children with autism. A number of questionnaires for parents and teachers with a semi-structured interview for five doctors and eleven therapists were conducted to identify basic problems of children with Autism and psychological methods for each problem. © 2014. The authors - Published by Atlantis Press.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Brain Development, Children with Autism, Complex Disorder, Computer Games, Computer Graphics, Computer Vision, Diseases, Education, Games, Semi Structured Interviews, Social Communications, Social Skills, Surveys, Teaching}, pubstate = {published}, tppubtype = {conference} } Autism Spectrum Disorders (ASD) and autism are both general terms for a group of complex disorders of brain development. ASD is characterized by difficulties with communication, social deficits, stereotyped or repetitive behaviours and interests. One of the major reasons behind the push to use technology and multimedia to assist interaction with children diagnosed with ASD is that they have shown a preference for, as well as a fascination with, "visual stimuli" such as computer applications, games, and videos. Primordial purpose of this study is to synthesize a survey regarding social problems and situations faced by children with autism. A number of questionnaires for parents and teachers with a semi-structured interview for five doctors and eleven therapists were conducted to identify basic problems of children with Autism and psychological methods for each problem. © 2014. The authors - Published by Atlantis Press. |
Mandasari, V; Theng, L B Enhancing the acquisitionof social skills through the interactivity of multimedia Book IGI Global, 2013, ISBN: 9781466646247; 1466646233; 9781466646230, (cited By 1). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Brain Abnormalities, Developmental Disorders, Education, Effective Tool, Interactivity, Pedagogical Tools, Social Behaviour, Social Skills, Teaching @book{Mandasari201395, title = {Enhancing the acquisitionof social skills through the interactivity of multimedia}, author = {V Mandasari and L B Theng}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944882717&doi=10.4018%2f978-1-4666-4623-0.ch005&partnerID=40&md5=c37aba1d085474c73c684dda79ba7da3}, doi = {10.4018/978-1-4666-4623-0.ch005}, isbn = {9781466646247; 1466646233; 9781466646230}, year = {2013}, date = {2013-01-01}, journal = {Emerging Research and Trends in Interactivity and the Human-Computer Interface}, pages = {95-126}, publisher = {IGI Global}, abstract = {Autism Spectrum Disorders (ASD) are a group of neuro-developmental disorders caused by brain abnormalities which result in impaired social story. Research on treatment in helping children with ASD to improve social story is growing as the cases of children diagnosed with ASD are on the rise. Social story is one of the proven methods of treatment in helping children with ASD to acquire social story through scenarios written in the form of stories. However, the current approaches to present the social story lack interactivity, consuming more intensive efforts to acquire the social story. Learning is most effectual when motivated; thus, the purpose of this study is to discover a learning tool that children with ASD will be motivated to learn independently, and it is achievable by combining elements that they are interested in. This research utilizes the interactivity of multimedia as a medium to present an interactive pedagogical tool for children with ASD to acquire social story. This combination is anticipated to be an effective tool in teaching social story to children with ASD, as they are naturally drawn to computers and visual cues, combined with the fact that Social Story™ has been effective in changing the social behavior of children with ASD. Thus, this study has contributed to the emergent research of treatment for children with ASD in social story acquisition. The result of this study is important as it presents a novel assistance that can be used effectively in assisting children with ASD to improve their main deficit, social story. © 2014 by IGI Global. All rights reserved.}, note = {cited By 1}, keywords = {Autism Spectrum Disorders, Brain Abnormalities, Developmental Disorders, Education, Effective Tool, Interactivity, Pedagogical Tools, Social Behaviour, Social Skills, Teaching}, pubstate = {published}, tppubtype = {book} } Autism Spectrum Disorders (ASD) are a group of neuro-developmental disorders caused by brain abnormalities which result in impaired social story. Research on treatment in helping children with ASD to improve social story is growing as the cases of children diagnosed with ASD are on the rise. Social story is one of the proven methods of treatment in helping children with ASD to acquire social story through scenarios written in the form of stories. However, the current approaches to present the social story lack interactivity, consuming more intensive efforts to acquire the social story. Learning is most effectual when motivated; thus, the purpose of this study is to discover a learning tool that children with ASD will be motivated to learn independently, and it is achievable by combining elements that they are interested in. This research utilizes the interactivity of multimedia as a medium to present an interactive pedagogical tool for children with ASD to acquire social story. This combination is anticipated to be an effective tool in teaching social story to children with ASD, as they are naturally drawn to computers and visual cues, combined with the fact that Social Story™ has been effective in changing the social behavior of children with ASD. Thus, this study has contributed to the emergent research of treatment for children with ASD in social story acquisition. The result of this study is important as it presents a novel assistance that can be used effectively in assisting children with ASD to improve their main deficit, social story. © 2014 by IGI Global. All rights reserved. |
2012 |
Shams, W K; Wahab, A; Qidwai, U A Fuzzy model for detection and estimation of the degree of autism spectrum disorder Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7666 LNCS (PART 4), pp. 372-379, 2012, ISSN: 03029743, (cited By 2). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Classification (of information), Data Processing, Detection and Estimation, Diseases, Early Intervention, EEG Signals, Electrophysiology, Fuzzy Approach, Fuzzy Modeling, Spectrum Energy, Subtractive Clustering, Time-Frequency Transformation, Treatment Process @article{Shams2012372, title = {Fuzzy model for detection and estimation of the degree of autism spectrum disorder}, author = {W K Shams and A Wahab and U A Qidwai}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869038189&doi=10.1007%2f978-3-642-34478-7_46&partnerID=40&md5=98929aba468010a02f652994b0da2a54}, doi = {10.1007/978-3-642-34478-7_46}, issn = {03029743}, year = {2012}, date = {2012-01-01}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {7666 LNCS}, number = {PART 4}, pages = {372-379}, abstract = {Early detection of autism spectrum disorder (ASD) is of great significance for early intervention. Besides, knowing the degree of severity in ASD and how it changes with the intervention is imperative for the treatment process. This study proposes Takagi- Sugeno-Kang (TSK) fuzzy modeling approach that is based on subtractive clustering to classify autism spectrum disorder and to estimate the degree of prognosis. The study has been carried out using Electroencephalography (EEG) signal on two groups of control and ASD children age-matched between seven to nine years old. EEG signals are quantized to temporal-time domain using Short Time Frequency Transformation (STFT). Spectrum energy is extracted as features for alpha band. The proposed system is modeled to estimate the degree in which subject is autistic, normal or uncertain. The results show accuracy in range (70-97) % when using fuzzy model .Also this system is modeled to generate crisp decision; the results show accuracy in the range (80-100) %. The proposed model can be adapted to help psychiatrist for diagnosis and intervention process. © 2012 Springer-Verlag.}, note = {cited By 2}, keywords = {Autism Spectrum Disorders, Classification (of information), Data Processing, Detection and Estimation, Diseases, Early Intervention, EEG Signals, Electrophysiology, Fuzzy Approach, Fuzzy Modeling, Spectrum Energy, Subtractive Clustering, Time-Frequency Transformation, Treatment Process}, pubstate = {published}, tppubtype = {article} } Early detection of autism spectrum disorder (ASD) is of great significance for early intervention. Besides, knowing the degree of severity in ASD and how it changes with the intervention is imperative for the treatment process. This study proposes Takagi- Sugeno-Kang (TSK) fuzzy modeling approach that is based on subtractive clustering to classify autism spectrum disorder and to estimate the degree of prognosis. The study has been carried out using Electroencephalography (EEG) signal on two groups of control and ASD children age-matched between seven to nine years old. EEG signals are quantized to temporal-time domain using Short Time Frequency Transformation (STFT). Spectrum energy is extracted as features for alpha band. The proposed system is modeled to estimate the degree in which subject is autistic, normal or uncertain. The results show accuracy in range (70-97) % when using fuzzy model .Also this system is modeled to generate crisp decision; the results show accuracy in the range (80-100) %. The proposed model can be adapted to help psychiatrist for diagnosis and intervention process. © 2012 Springer-Verlag. |
Shamsuddin, S; Yussof, H; Ismail, L; Hanapiah, F A; Mohamed, S; Piah, H A; Zahari, N I Initial response of autistic children in human-robot interaction therapy with humanoid robot NAO Conference 2012, ISBN: 9781467309615, (cited By 103). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Spectrum Disorders, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Human Computer Interaction, Human Robot Interaction, Humanoid Robot, Man Machine Systems, Pilot Experiment, Rehabilitation Robotics, Research, Robotics, Signal Processing, Visual Systems @conference{Shamsuddin2012188, title = {Initial response of autistic children in human-robot interaction therapy with humanoid robot NAO}, author = {S Shamsuddin and H Yussof and L Ismail and F A Hanapiah and S Mohamed and H A Piah and N I Zahari}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861537641&doi=10.1109%2fCSPA.2012.6194716&partnerID=40&md5=32572eb3ebc7d201c02a90908128ae28}, doi = {10.1109/CSPA.2012.6194716}, isbn = {9781467309615}, year = {2012}, date = {2012-01-01}, journal = {Proceedings - 2012 IEEE 8th International Colloquium on Signal Processing and Its Applications, CSPA 2012}, pages = {188-193}, abstract = {The overall context proposed in this paper is part of our long-standing goal to contribute to a group of community that suffers from Autism Spectrum Disorder (ASD); a lifelong developmental disability. The objective of this paper is to present the development of our pilot experiment protocol where children with ASD will be exposed to the humanoid robot NAO. This fully programmable humanoid offers an ideal research platform for human-robot interaction (HRI). This study serves as the platform for fundamental investigation to observe the initial response and behavior of the children in the said environment. The system utilizes external cameras, besides the robot's own visual system. Anticipated results are the real initial response and reaction of ASD children during the HRI with the humanoid robot. This shall leads to adaptation of new procedures in ASD therapy based on HRI, especially for a non-technical-expert person to be involved in the robotics intervention during the therapy session. © 2012 IEEE.}, note = {cited By 103}, keywords = {Anthropomorphic Robots, Autism Spectrum Disorders, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Human Computer Interaction, Human Robot Interaction, Humanoid Robot, Man Machine Systems, Pilot Experiment, Rehabilitation Robotics, Research, Robotics, Signal Processing, Visual Systems}, pubstate = {published}, tppubtype = {conference} } The overall context proposed in this paper is part of our long-standing goal to contribute to a group of community that suffers from Autism Spectrum Disorder (ASD); a lifelong developmental disability. The objective of this paper is to present the development of our pilot experiment protocol where children with ASD will be exposed to the humanoid robot NAO. This fully programmable humanoid offers an ideal research platform for human-robot interaction (HRI). This study serves as the platform for fundamental investigation to observe the initial response and behavior of the children in the said environment. The system utilizes external cameras, besides the robot's own visual system. Anticipated results are the real initial response and reaction of ASD children during the HRI with the humanoid robot. This shall leads to adaptation of new procedures in ASD therapy based on HRI, especially for a non-technical-expert person to be involved in the robotics intervention during the therapy session. © 2012 IEEE. |
2011 |
Ismail, L; Shamsuddin, S; Yussof, H; Hashim, H; Bahari, S; Jaafar, A; Zahari, I Face detection technique of Humanoid Robot NAO for application in robotic assistive therapy Conference 2011, ISBN: 9781457716423, (cited By 14). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Assistive, Autism Spectrum Disorders, Autistic Children, Cameras, Children with Autism, Communication, Concentration Levels, Control Systems, Cutting Edges, Detection Tools, Developmental Disorders, Diseases, Face Detection, Face Recognition, Graphical User Interfaces, Humanoid Robot, Robotics, Social Interactions @conference{Ismail2011517, title = {Face detection technique of Humanoid Robot NAO for application in robotic assistive therapy}, author = {L Ismail and S Shamsuddin and H Yussof and H Hashim and S Bahari and A Jaafar and I Zahari}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862067305&doi=10.1109%2fICCSCE.2011.6190580&partnerID=40&md5=954caf63c5c5f7f05062436598a32a91}, doi = {10.1109/ICCSCE.2011.6190580}, isbn = {9781457716423}, year = {2011}, date = {2011-01-01}, journal = {Proceedings - 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011}, pages = {517-521}, abstract = {This paper proposed a face detection method for tracking the faces of children with Autism Spectrum Disorder in a robotic assistive therapy. The face detection is a novel approach in robotic assistive therapy involving autistic children since it is believe that those children will positively react with high-end devices, gadget and cutting edge devices. The intention of tracking the autistic children's faces is to measure the concentration level of the children in social interaction and communication since everyone knows that those children are suffering from communication disabilities and deficits due to brain developmental disorder. Humanoid Robot Nao with 573.2mm height equipped with 2 internal cameras is utilized for this research. The face detection tools in choregraphe and telepathe based on Graphical User Interface (GUI) module is used in this study. The non-verbal interaction between humanoid robot and autistic children is recorded by using 2 internal cameras from the robot's head. The interaction is going to take about 30 minutes and supervised by occupational therapist and certified psychologist. The autistic children will be introduced to the Humanoid Robot Nao and their reaction will be recorded simultaneously while the robot is trying to track their faces. © 2011 IEEE.}, note = {cited By 14}, keywords = {Anthropomorphic Robots, Assistive, Autism Spectrum Disorders, Autistic Children, Cameras, Children with Autism, Communication, Concentration Levels, Control Systems, Cutting Edges, Detection Tools, Developmental Disorders, Diseases, Face Detection, Face Recognition, Graphical User Interfaces, Humanoid Robot, Robotics, Social Interactions}, pubstate = {published}, tppubtype = {conference} } This paper proposed a face detection method for tracking the faces of children with Autism Spectrum Disorder in a robotic assistive therapy. The face detection is a novel approach in robotic assistive therapy involving autistic children since it is believe that those children will positively react with high-end devices, gadget and cutting edge devices. The intention of tracking the autistic children's faces is to measure the concentration level of the children in social interaction and communication since everyone knows that those children are suffering from communication disabilities and deficits due to brain developmental disorder. Humanoid Robot Nao with 573.2mm height equipped with 2 internal cameras is utilized for this research. The face detection tools in choregraphe and telepathe based on Graphical User Interface (GUI) module is used in this study. The non-verbal interaction between humanoid robot and autistic children is recorded by using 2 internal cameras from the robot's head. The interaction is going to take about 30 minutes and supervised by occupational therapist and certified psychologist. The autistic children will be introduced to the Humanoid Robot Nao and their reaction will be recorded simultaneously while the robot is trying to track their faces. © 2011 IEEE. |
2010 |
Othman, M; Wahab, A Affective face processing analysis in autism using electroencephalogram Conference 2010, ISBN: 9789791948913, (cited By 7). Abstract | Links | BibTeX | Tags: Affective Face Processing, Analysis Results, Autism Spectrum Disorders, Brain Wave, Diseases, Electroencephalogram, Electroencephalography, Emotion, Emotion Models, Eye Contact, Facial Expression, Human Emotion, Information Technology @conference{Othman2010, title = {Affective face processing analysis in autism using electroencephalogram}, author = {M Othman and A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052372671&doi=10.1109%2fICT4M.2010.5971907&partnerID=40&md5=4d5f8a317d6a9c93e1ab7186a9b99b52}, doi = {10.1109/ICT4M.2010.5971907}, isbn = {9789791948913}, year = {2010}, date = {2010-01-01}, journal = {Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010}, pages = {E23-E27}, abstract = {Past research in the area of psychology has indicated the inability of Autism Spectrum Disorder (ASD) patients for interpreting other people's emotion. This impairment is due to their lack of social motivation and eye contact during communication, causing insufficient information to the brain for interpreting emotional faces. This paper investigates human brainwaves for understanding affective face processing of ASD children. Pattern classification results are explained based on the 2-dimensional emotion model. The 2-dimensional model explains human emotion in terms of the pleasant/ unpleasantness (or valence) and intensity (or arousal). Analysis results revealed that emotion of the non-autistic group is altered towards matching the affective faces currently displayed on the computer monitor. Emotion dynamics of ASD children, however, indicated the trend for reversed valence while watching emotionally related facial expressions. © 2010 IEEE.}, note = {cited By 7}, keywords = {Affective Face Processing, Analysis Results, Autism Spectrum Disorders, Brain Wave, Diseases, Electroencephalogram, Electroencephalography, Emotion, Emotion Models, Eye Contact, Facial Expression, Human Emotion, Information Technology}, pubstate = {published}, tppubtype = {conference} } Past research in the area of psychology has indicated the inability of Autism Spectrum Disorder (ASD) patients for interpreting other people's emotion. This impairment is due to their lack of social motivation and eye contact during communication, causing insufficient information to the brain for interpreting emotional faces. This paper investigates human brainwaves for understanding affective face processing of ASD children. Pattern classification results are explained based on the 2-dimensional emotion model. The 2-dimensional model explains human emotion in terms of the pleasant/ unpleasantness (or valence) and intensity (or arousal). Analysis results revealed that emotion of the non-autistic group is altered towards matching the affective faces currently displayed on the computer monitor. Emotion dynamics of ASD children, however, indicated the trend for reversed valence while watching emotionally related facial expressions. © 2010 IEEE. |
Sheppard, E; Ropar, D; Underwood, G; Loon, Van E Brief report: Driving hazard perception in autism Journal Article Journal of Autism and Developmental Disorders, 40 (4), pp. 504-508, 2010, ISSN: 01623257, (cited By 42). Abstract | Links | BibTeX | Tags: Adolescent, Adult, Article, Association, Autism, Autism Spectrum Disorders, Automobile Driving, Car Driving, Case-Control Studies, Clinical Article, Controlled Study, Hazard Assessment, Human, Information Processing, Intelligence Quotient, Male, Mental Health, Motor Dysfunction, Neuropsychological Tests, Perception, Photic Stimulation, Priority Journal, Reaction Time, Social Perception, Traffic Accident, Traffic Safety, Visual Impairment, Visual Perception, Visual Stimulation, Young Adult @article{Sheppard2010504, title = {Brief report: Driving hazard perception in autism}, author = {E Sheppard and D Ropar and G Underwood and E Van Loon}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954458984&doi=10.1007%2fs10803-009-0890-5&partnerID=40&md5=f0036a737ebb461359baf1bd8b388b23}, doi = {10.1007/s10803-009-0890-5}, issn = {01623257}, year = {2010}, date = {2010-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {40}, number = {4}, pages = {504-508}, abstract = {This study investigated whether individuals with ASD (autistic spectrum disorders) are able to identify driving hazards, given their difficulties processing social information, Klin et al. (Archives of General Psychiatry 59: 809-816, 2002). Twenty-three adult males with ASD and 21 comparison participants viewed 10 video clips containing driving hazards. In half of the clips the source of the hazard was a visible person (social); in the other half the source was a car (non-social). Participants with ASD identified fewer social hazards than the comparison participants (U = 163.00}, note = {cited By 42}, keywords = {Adolescent, Adult, Article, Association, Autism, Autism Spectrum Disorders, Automobile Driving, Car Driving, Case-Control Studies, Clinical Article, Controlled Study, Hazard Assessment, Human, Information Processing, Intelligence Quotient, Male, Mental Health, Motor Dysfunction, Neuropsychological Tests, Perception, Photic Stimulation, Priority Journal, Reaction Time, Social Perception, Traffic Accident, Traffic Safety, Visual Impairment, Visual Perception, Visual Stimulation, Young Adult}, pubstate = {published}, tppubtype = {article} } This study investigated whether individuals with ASD (autistic spectrum disorders) are able to identify driving hazards, given their difficulties processing social information, Klin et al. (Archives of General Psychiatry 59: 809-816, 2002). Twenty-three adult males with ASD and 21 comparison participants viewed 10 video clips containing driving hazards. In half of the clips the source of the hazard was a visible person (social); in the other half the source was a car (non-social). Participants with ASD identified fewer social hazards than the comparison participants (U = 163.00 |
2005 |
Jayachandra, S Is secretin effective in treatment for Autism Spectrum Disorders (ASD)? Journal Article International Journal of Psychiatry in Medicine, 35 (1), pp. 99-101, 2005, ISSN: 00912174, (cited By 2). Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Children, Clinical Trial, Drug Effect, Drug Efficacy, Drug Mechanism, Gastrointestinal Symptom, Human, Hypersensitivity, Injections, Intravenous, Letter, Secretin, Treatment Outcome @article{Jayachandra200599, title = {Is secretin effective in treatment for Autism Spectrum Disorders (ASD)?}, author = {S Jayachandra}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-23044481281&doi=10.2190%2fQ1D2-5DNB-V4FJ-J9M5&partnerID=40&md5=791bd90c9cdaa7b82bc5d7e8b8c5a7de}, doi = {10.2190/Q1D2-5DNB-V4FJ-J9M5}, issn = {00912174}, year = {2005}, date = {2005-01-01}, journal = {International Journal of Psychiatry in Medicine}, volume = {35}, number = {1}, pages = {99-101}, note = {cited By 2}, keywords = {Autism, Autism Spectrum Disorders, Children, Clinical Trial, Drug Effect, Drug Efficacy, Drug Mechanism, Gastrointestinal Symptom, Human, Hypersensitivity, Injections, Intravenous, Letter, Secretin, Treatment Outcome}, pubstate = {published}, tppubtype = {article} } |
1995 |
Kasmini, K; Zasmani, S Asperger's syndrome: a report of two cases from Malaysia. Journal Article Singapore medical journal, 36 (6), pp. 641-643, 1995, ISSN: 00375675, (cited By 2). Abstract | Links | BibTeX | Tags: Article, Autism, Autism Spectrum Disorders, Case Report, Child Development Disorders, Children, Classification (of information), Human, Language Development Disorders, Language Disability, Malaysia, Male, Pervasive, Psychiatric Status Rating Scales, Psychological Aspect, Psychological Rating Scale, Social Behaviour, Stereotyped Behaviour, Stereotypy, Syndrome @article{Kasmini1995641, title = {Asperger's syndrome: a report of two cases from Malaysia.}, author = {K Kasmini and S Zasmani}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0029445569&partnerID=40&md5=6280382e5c679f84eea178a916b2e19f}, issn = {00375675}, year = {1995}, date = {1995-01-01}, journal = {Singapore medical journal}, volume = {36}, number = {6}, pages = {641-643}, abstract = {Asperger's Syndrome is a distinct variant of autism, with a prevalence rate of 10 to 26 per 10,000 of normal intelligence, and 0.4 per 10,000 in those with mild mental retardation. The syndrome now has its own clinical entity and diagnostic criteria. It is being officially listed in the ICD-10 under pervasive developmental disorder. Two such cases are described in this article. Case One lacked the ability to relate to others, was excessively preoccupied with the late actor P. Ramlee and demonstrated a peculiar behaviour of holding on to toothbrushes in his early childhood. Cognitively, he was unable to synthesise words into meaningful sentences. Similarly, Case Two was unable to relate well to others and was preoccupied with the planets and its constellations. Though he appeared intelligent with an IQ score of 101, he was unable to follow instructions at school. Both children had motor clumsiness and fulfilled the criteria for the diagnosis of Asperger's Syndrome.}, note = {cited By 2}, keywords = {Article, Autism, Autism Spectrum Disorders, Case Report, Child Development Disorders, Children, Classification (of information), Human, Language Development Disorders, Language Disability, Malaysia, Male, Pervasive, Psychiatric Status Rating Scales, Psychological Aspect, Psychological Rating Scale, Social Behaviour, Stereotyped Behaviour, Stereotypy, Syndrome}, pubstate = {published}, tppubtype = {article} } Asperger's Syndrome is a distinct variant of autism, with a prevalence rate of 10 to 26 per 10,000 of normal intelligence, and 0.4 per 10,000 in those with mild mental retardation. The syndrome now has its own clinical entity and diagnostic criteria. It is being officially listed in the ICD-10 under pervasive developmental disorder. Two such cases are described in this article. Case One lacked the ability to relate to others, was excessively preoccupied with the late actor P. Ramlee and demonstrated a peculiar behaviour of holding on to toothbrushes in his early childhood. Cognitively, he was unable to synthesise words into meaningful sentences. Similarly, Case Two was unable to relate well to others and was preoccupied with the planets and its constellations. Though he appeared intelligent with an IQ score of 101, he was unable to follow instructions at school. Both children had motor clumsiness and fulfilled the criteria for the diagnosis of Asperger's Syndrome. |
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2020 |
Augmented reality for learning of children and adolescents with autism spectrum disorder (ASD): A systematic review Journal Article IEEE Access, 8 , pp. 78779-78807, 2020, ISSN: 21693536, (cited By 0). |
Autism Spectrum Disorder Classification in Videos: A Hybrid of Temporal Coherency Deep Networks and Self-organizing Dual Memory Approach Journal Article Lecture Notes in Electrical Engineering, 621 , pp. 421-430, 2020, ISSN: 18761100, (cited By 0). |
Feature Selection of Electromyography Signals for Autism Spectrum Disorder Children During Gait Using Mann-Whitney Test Journal Article JURNAL TEKNOLOGI, 82 (2), pp. 113-120, 2020, ISSN: 0127-9696. |
2019 |
Universal Access in the Information Society, 2019, ISSN: 16155289, (cited By 2). |
2018-October , Institute of Electrical and Electronics Engineers Inc., 2019, ISSN: 21593442, (cited By 0). |
Association between Nutritional Factors and Severity Among Children with Autism Spectrum Disorder in Malaysia Journal Article ANNALS OF NUTRITION AND METABOLISM, 75 (3), pp. 90, 2019, ISSN: 0250-6807. |
Classification of adults with autism spectrum disorder using deep neural network Conference Institute of Electrical and Electronics Engineers Inc., 2019, ISBN: 9781728130415, (cited By 0). |
Institute of Electrical and Electronics Engineers Inc., 2019, ISBN: 9781538679661, (cited By 2). |
Nutrients, 11 (4), 2019, ISSN: 20726643, (cited By 4). |
Evaluation on Machine Learning Algorithms for Classification of Autism Spectrum Disorder (ASD) Conference 1372 (1), Institute of Physics Publishing, 2019, ISSN: 17426588, (cited By 0). |
2018 |
A Review on Using Assistive Technology to Enhance Social Skills Competence Among Children with Autism Spectrum Disorder (ASD) Journal Article ADVANCED SCIENCE LETTERS, 24 (6), pp. 4250-4254, 2018, ISSN: 1936-6612, (International Conference on Science, Engineering, Management and Social Sciences (ICSEMSS), Univ Teknologi Malaysia, Johor Bahru, MALAYSIA, OCT 06-08, 2016). |
Accuracy of Modified Checklist for Autism in Toddlers (M-CHAT) in Detecting Autism and Other Developmental Disorders in Community Clinics Journal Article Journal of Autism and Developmental Disorders, 48 (1), pp. 28-35, 2018, ISSN: 01623257, (cited By 9). |
Autism and trichotillomania in an adolescent boy Journal Article BMJ Case Reports, 2018 , 2018, ISSN: 1757790X, (cited By 0). |
Design and development of therapeutic aid tools using human-machine interaction approach for children with autism spectrum disorder Journal Article Advances in Intelligent Systems and Computing, 739 , pp. 530-537, 2018, ISSN: 21945357, (cited By 0). |
Evaluation of video modeling application to teach social interaction skills to autistic children Journal Article Communications in Computer and Information Science, 886 , pp. 125-135, 2018, ISSN: 18650929, (cited By 0). |
Humanoid robot intervention with autism: The conceptual model in demonstrating the emotional responses of children with autism Journal Article Advances in Intelligent Systems and Computing, 739 , pp. 574-579, 2018, ISSN: 21945357, (cited By 0). |
Integration of digital social story intervention into differentiated instruction framework Journal Article Journal of Integrated Design and Process Science, 21 (4), pp. 41-56, 2018, ISSN: 10920617, (cited By 1). |
Interactive robotic platform for education and language skill rehabilitation Conference 2017-November , Institute of Electrical and Electronics Engineers Inc., 2018, ISBN: 9781538639603, (cited By 0). |
2017 |
Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781509045211, (cited By 3). |
2018-January , Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781538607657, (cited By 1). |
Scientific Reports, 7 (1), 2017, ISSN: 20452322, (cited By 6). |
Duplication 17p11.2 (Potocki-Lupski syndrome) in a child with developmental delay Journal Article Malaysian Journal of Pathology, 39 (1), pp. 77-81, 2017, ISSN: 01268635, (cited By 0). |
EVIDENCE-BASED PRACTICE: INCLUSIVE EDUCATION FOR THE EFFECTIVE IMPLEMENTATION FOR CHILDREN WITH AUTISM Inproceedings DeSilva, S (Ed.): PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON EDUCATION 2017 (ICEDU- 2017), pp. 114-128, Int Inst Knowledge Management INT INST KNOWLEDGE MANAGEMENT-TIIKM, NO 531/18, KOTTE RD, PITAKOTTE, 10100, SRI LANKA, 2017, (3rd International Conference on Education (ICEDU), Univ No Colorado, Kuala Lumpur, MALAYSIA, APR 20-22, 2017). |
2016 |
Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781509015436, (cited By 4). |
Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781509016365, (cited By 2). |
Hottest pixel segmentation based thermal image analysis for children Conference Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781467377911, (cited By 0). |
How Easy is it to Read the Minds of People with Autism Spectrum Disorder? Journal Article Journal of Autism and Developmental Disorders, 46 (4), pp. 1247-1254, 2016, ISSN: 01623257, (cited By 37). |
Interaction design principles for edutainment systems: Enhancing the communication skills of children with autism spectrum disorders Journal Article Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia, 39 (8), pp. 45-50, 2016, ISSN: 02540770, (cited By 24). |
2015 |
Ankrd11 is a chromatin regulator involved in autism that is essential for neural development Journal Article Developmental Cell, 32 (1), pp. 31-42, 2015, ISSN: 15345807, (cited By 52). |
AUTISTHERAPIBOT: Autonomous robotic autism therapists assistant for autistic children Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 1). |
Autistic Children's Kansei Responses Towards Humanoid-Robot as Teaching Mediator Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 6). |
Brain Waves and Connectivity of Autism Spectrum Disorders Inproceedings Bekirogullari, Z; Minas, MY (Ed.): 5TH ICEEPSY INTERNATIONAL CONFERENCE ON EDUCATION & EDUCATIONAL PSYCHOLOGY, pp. 882-890, Future Academy ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2015, ISSN: 1877-0428, (5th International Conference on Education & Educational Psychology (ICEEPSY), Kyrenia, CYPRUS, OCT 22-25, 2014). |
Can spatiotemporal gait analysis identify a child with Autistic Spectrum Disorder? Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 0). |
Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions Journal Article Applied Soft Computing Journal, 32 , pp. 335-346, 2015, ISSN: 15684946, (cited By 6). |
Enhancing the acquisition of social skills through the interactivity of multimedia Book IGI Global, 2015, ISBN: 9781466686151; 1466686146; 9781466686144, (cited By 0). |
Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 4). |
Heuristics to evaluate interactive systems for children with Autism Spectrum Disorder (ASD) Journal Article PLoS ONE, 10 (7), 2015, ISSN: 19326203, (cited By 12). |
2014 |
Autism: Cause factors, early diagnosis and therapies Journal Article Reviews in the Neurosciences, 25 (6), pp. 841-850, 2014, ISSN: 03341763, (cited By 52). |
Automated diagnosis of autism: In search of a mathematical marker Journal Article Reviews in the Neurosciences, 25 (6), pp. 851-861, 2014, ISSN: 03341763, (cited By 34). |
Comparative study on attitudes and psychological problems of mothers towards their children with developmental disability Journal Article East Asian Archives of Psychiatry, 24 (1), pp. 16-22, 2014, ISSN: 20789947, (cited By 6). |
2013 |
A cross-cultural comparison of autistic traits in the UK, India and Malaysia Journal Article Journal of Autism and Developmental Disorders, 43 (11), pp. 2569-2583, 2013, ISSN: 01623257, (cited By 39). |
Atlantis Press, 2013, ISBN: 9789462520028, (cited By 0). |
Enhancing the acquisitionof social skills through the interactivity of multimedia Book IGI Global, 2013, ISBN: 9781466646247; 1466646233; 9781466646230, (cited By 1). |
2012 |
Fuzzy model for detection and estimation of the degree of autism spectrum disorder Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7666 LNCS (PART 4), pp. 372-379, 2012, ISSN: 03029743, (cited By 2). |
Initial response of autistic children in human-robot interaction therapy with humanoid robot NAO Conference 2012, ISBN: 9781467309615, (cited By 103). |
2011 |
Face detection technique of Humanoid Robot NAO for application in robotic assistive therapy Conference 2011, ISBN: 9781457716423, (cited By 14). |
2010 |
Affective face processing analysis in autism using electroencephalogram Conference 2010, ISBN: 9789791948913, (cited By 7). |
Brief report: Driving hazard perception in autism Journal Article Journal of Autism and Developmental Disorders, 40 (4), pp. 504-508, 2010, ISSN: 01623257, (cited By 42). |
2005 |
Is secretin effective in treatment for Autism Spectrum Disorders (ASD)? Journal Article International Journal of Psychiatry in Medicine, 35 (1), pp. 99-101, 2005, ISSN: 00912174, (cited By 2). |
1995 |
Asperger's syndrome: a report of two cases from Malaysia. Journal Article Singapore medical journal, 36 (6), pp. 641-643, 1995, ISSN: 00375675, (cited By 2). |