List of Publications
There are numbers of autism related research can be found in Malaysia that generally focus on the ASD, learning disorder, communication aids, therapy and many more. The list of publications is provided below:
- Click this to search using keyword determined by the user.
- It will lead to a new web page with a text search box.
- Type your keyword in the search box
- Click on Keyword to search for any publication. Bigger words indicate the most used tags and smaller words indicate the least used.
- Click on dropdown buttons to choose any years, types of publications or authors of your choice.
- Click on underlined words in the publication detail to view more information.
2019 |
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{Hasan20192436, title = {ANN and SVM Classifiers in Identifying Autism Spectrum Disorder Gait Based on Three-Dimensional Ground Reaction Forces}, author = {C Z C Hasan and R Jailani and N M Tahir}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063202256&doi=10.1109%2fTENCON.2018.8650468&partnerID=40&md5=c697d0c43ebd77d76d74cb3726872f42}, doi = {10.1109/TENCON.2018.8650468}, issn = {21593442}, year = {2019}, date = {2019-01-01}, journal = {IEEE Region 10 Annual International Conference, Proceedings/TENCON}, volume = {2018-October}, pages = {2436-2440}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {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.}, note = {cited By 0}, keywords = {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}, pubstate = {published}, tppubtype = {conference} } 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. |
2017 |
Ilias, S; Tahir, N M; Jailani, R Development of three dimensional gait pattern in autism children - a review Conference Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781509011780, (cited By 0). Abstract | Links | BibTeX | Tags: Abnormal Gait, Children with Autism, Clinical Decision Making, Control Systems, Decision Making, Diseases, Enzyme Kinetics, Gait Analysis, Gait Classification, Kinematics, Spatial Temporals, Temporal Spatial, Three-Dimensional, Three-Dimensional Computer Graphics, Treatment Planning @conference{Ilias2017540, title = {Development of three dimensional gait pattern in autism children - a review}, author = {S Ilias and N M Tahir and R Jailani}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019000981&doi=10.1109%2fICCSCE.2016.7893635&partnerID=40&md5=37aaf5f94b177ecfa164c432d32b5dfe}, doi = {10.1109/ICCSCE.2016.7893635}, isbn = {9781509011780}, year = {2017}, date = {2017-01-01}, journal = {Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016}, pages = {540-545}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Recently, gait patterns of children with autism is of interest in the gait community in order to identify significant gait parameter namely the three dimensional (3D) gait features such as spatial temporal, kinematic and kinetic. This is because gait pattern provides clinicians and researchers in understanding the trajectory of gait development. Understanding the characteristics and identifying gait pattern is essential in order to distinguish normal as well as abnormal gait pattern. Hence the purpose of this review is to identify deviations gait in children with autism based on criteria specifically subject character; measurement, type of gait variables measured; method of classification and major findings. Several gait variables from different instrumentation for gait analysis is reviewed too. Development of gait patterns via assessing gait deviations in children with ASD could assist clinician and researchers to differentiate gait pattern abnormality in diagnosing, clinical decision-making and treatment planning as well. © 2016 IEEE.}, note = {cited By 0}, keywords = {Abnormal Gait, Children with Autism, Clinical Decision Making, Control Systems, Decision Making, Diseases, Enzyme Kinetics, Gait Analysis, Gait Classification, Kinematics, Spatial Temporals, Temporal Spatial, Three-Dimensional, Three-Dimensional Computer Graphics, Treatment Planning}, pubstate = {published}, tppubtype = {conference} } Recently, gait patterns of children with autism is of interest in the gait community in order to identify significant gait parameter namely the three dimensional (3D) gait features such as spatial temporal, kinematic and kinetic. This is because gait pattern provides clinicians and researchers in understanding the trajectory of gait development. Understanding the characteristics and identifying gait pattern is essential in order to distinguish normal as well as abnormal gait pattern. Hence the purpose of this review is to identify deviations gait in children with autism based on criteria specifically subject character; measurement, type of gait variables measured; method of classification and major findings. Several gait variables from different instrumentation for gait analysis is reviewed too. Development of gait patterns via assessing gait deviations in children with ASD could assist clinician and researchers to differentiate gait pattern abnormality in diagnosing, clinical decision-making and treatment planning as well. © 2016 IEEE. |
2016 |
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. |
2015 |
Bhagat, V; Simbak, Bin N; Haque, M Journal of Young Pharmacists, 7 (4), pp. 403-414, 2015, ISSN: 09751483, (cited By 0). Abstract | Links | BibTeX | Tags: Autism, Coping Behaviour, Decision Making, Disease Severity, Economic Aspect, Emotion, Emotionality, Experience, Human, Human Relation, Intervention Study, Parental Attitude, Parental Stress, Priority Journal, Psychological Well Being, Review, Satisfaction, Social Behaviour, Strategic Planning @article{Bhagat2015403, title = {The peripheral focus on the psychological parameters of parents of autistic children in the intervention methods: A review and recommending the strategy, focusing psychological parameters of parents of autistic children in intervention methods}, author = {V Bhagat and N Bin Simbak and M Haque}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959853109&doi=10.5530%2fjyp.2015.4s.1&partnerID=40&md5=ed5b5faede6650d1249a902d7201ed43}, doi = {10.5530/jyp.2015.4s.1}, issn = {09751483}, year = {2015}, date = {2015-01-01}, journal = {Journal of Young Pharmacists}, volume = {7}, number = {4}, pages = {403-414}, publisher = {EManuscript Services}, abstract = {The experience of parents with an Autism Spectrum Disorders (ASD) can be devastating. Parents and families have to cope with the compound, demanding situation in their life. The presence of pervasive and severe deficits in children with ASD increases the adjusting demands of parent's in their life situations. Those coping with life complexity with the parents of ASD nudge them into stress later into distress slowly incapacitates them that of their efficiency to deal with this situation. These parents are found with disturbances in their psychological parameters such as social, sexual, economic, and emotional. Perhaps this shatters them from their interpersonal relationship and family life. Indeed, these aspects of parental distress stand lower in position, and the focus goes with the treatment of ASD. Thus, the management of ASD by these parents to their deficit child capacitating to reach their fullest abilities remains questionable. Thus, there is a need for intervention of autistic children with a peripheral focus on psychological parameters of parents of ASD. This review study focuses on division of attention required for the treatment of ASD towards the child with autism and the parents who manage them.}, note = {cited By 0}, keywords = {Autism, Coping Behaviour, Decision Making, Disease Severity, Economic Aspect, Emotion, Emotionality, Experience, Human, Human Relation, Intervention Study, Parental Attitude, Parental Stress, Priority Journal, Psychological Well Being, Review, Satisfaction, Social Behaviour, Strategic Planning}, pubstate = {published}, tppubtype = {article} } The experience of parents with an Autism Spectrum Disorders (ASD) can be devastating. Parents and families have to cope with the compound, demanding situation in their life. The presence of pervasive and severe deficits in children with ASD increases the adjusting demands of parent's in their life situations. Those coping with life complexity with the parents of ASD nudge them into stress later into distress slowly incapacitates them that of their efficiency to deal with this situation. These parents are found with disturbances in their psychological parameters such as social, sexual, economic, and emotional. Perhaps this shatters them from their interpersonal relationship and family life. Indeed, these aspects of parental distress stand lower in position, and the focus goes with the treatment of ASD. Thus, the management of ASD by these parents to their deficit child capacitating to reach their fullest abilities remains questionable. Thus, there is a need for intervention of autistic children with a peripheral focus on psychological parameters of parents of ASD. This review study focuses on division of attention required for the treatment of ASD towards the child with autism and the parents who manage them. |
2010 |
Jiar, Y K; Supriyanto, E; Satria, H; Kuan, T M; Han, Y E Interactive cognitive assessment and training support system for special children Conference 2010, ISBN: 9789549260021, (cited By 1). Abstract | Links | BibTeX | Tags: Assessment and Training, Cognitive Ability, Cryptography, Decision Making, Early Intervention, Education, Graphical User Interfaces, Information Science, Radio Frequency Identification (RFID), Rating Scale, RFID, Software Design, Special Children, Support System, Telecommunication @conference{Jiar2010171, title = {Interactive cognitive assessment and training support system for special children}, author = {Y K Jiar and E Supriyanto and H Satria and T M Kuan and Y E Han}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952650975&partnerID=40&md5=a524a921e3cd51ca76ef2d1d2dc818db}, isbn = {9789549260021}, year = {2010}, date = {2010-01-01}, journal = {9th WSEAS International Conference on Telecommunications and Informatics, TELE-INFO '10}, pages = {171-175}, abstract = {Special children are children who experience learning difficulties. Special children include those under Down syndrome, autism, global delay, epilepsy and slow learner. In this study, the special children are referring to children with Down syndrome. Early intervention program is a systematic program with therapy, exercises, and activities which designed to help special children. Cognitive development is the construction of thought processes, including thinking, problem solving, concept understanding, and decision-making, from childhood through adolescence to adulthood. It is one of the most important skills that have to be developed for Down syndrome children. This study is focused mainly on development of the cognitive ability support system. The aim is to help them improving their logical thinking and memory skills. In brief, this study is about the development of software system for the cognitive ability. This includes the implementation of the radio frequency identification (RFID) reader and graphical user interface. The complete system is then test to ensure the accuracy of result, user acceptability and reliability of the system. The results show that the system can generate result in graphical form and training for improving the cognitive ability of the children. In conclusion, the system can be used in order to help trainers or parents to improve the cognitive ability of children with Down syndrome.}, note = {cited By 1}, keywords = {Assessment and Training, Cognitive Ability, Cryptography, Decision Making, Early Intervention, Education, Graphical User Interfaces, Information Science, Radio Frequency Identification (RFID), Rating Scale, RFID, Software Design, Special Children, Support System, Telecommunication}, pubstate = {published}, tppubtype = {conference} } Special children are children who experience learning difficulties. Special children include those under Down syndrome, autism, global delay, epilepsy and slow learner. In this study, the special children are referring to children with Down syndrome. Early intervention program is a systematic program with therapy, exercises, and activities which designed to help special children. Cognitive development is the construction of thought processes, including thinking, problem solving, concept understanding, and decision-making, from childhood through adolescence to adulthood. It is one of the most important skills that have to be developed for Down syndrome children. This study is focused mainly on development of the cognitive ability support system. The aim is to help them improving their logical thinking and memory skills. In brief, this study is about the development of software system for the cognitive ability. This includes the implementation of the radio frequency identification (RFID) reader and graphical user interface. The complete system is then test to ensure the accuracy of result, user acceptability and reliability of the system. The results show that the system can generate result in graphical form and training for improving the cognitive ability of the children. In conclusion, the system can be used in order to help trainers or parents to improve the cognitive ability of children with Down syndrome. |
2009 |
Yusoff, Mohd N; Wahab, Abdul M H; Aziz, M A; AshaÁri, Jalil F ESSE: Learning disability classification system for autism and dyslexia Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5614 LNCS (PART 1), pp. 395-402, 2009, ISSN: 03029743, (cited By 2). Abstract | Links | BibTeX | Tags: Autism, Centralized Decision Making, Classification System, Decision Making, Errors, Expert Systems, Human Computer Interaction, Human Errors, Knowledge Engineering, Knowledge Management, Knowledge-Based Classification, Learning Disorder, Malaysia, Special Education, Teaching @article{MohdYusoff2009395, title = {ESSE: Learning disability classification system for autism and dyslexia}, author = {N Mohd Yusoff and M H Abdul Wahab and M A Aziz and F Jalil AshaÁri}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-76249116153&doi=10.1007%2f978-3-642-02707-9_45&partnerID=40&md5=f51c6dd35a86b7eef7ee117d1daa41dd}, doi = {10.1007/978-3-642-02707-9_45}, issn = {03029743}, year = {2009}, date = {2009-01-01}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {5614 LNCS}, number = {PART 1}, pages = {395-402}, abstract = {This paper presents an Expert System for Special Education (ESSE) based on scenario in Malaysia. This system is developed through the process of knowledge-gaining which is gathered from various expertise in chosen domain. Realizing the limitation of traditional classification system that teachers adopted, we developed ESSE to automate a centralized decision making system. ESSE is also able to provide consistent answers for repetitive decisions, processes and tasks. Besides, teachers using this system hold and maintain significant level of information pertaining both learning disabilities, thus reduce amount of human errors. ESSE knowledge-based resulted from the knowledge engineering called Qualifiers and Choice. Both are gathered from the analysis of symptoms that are experienced by Autism and Dyslexia patients. Every type of disability is divided to several categories and sub-category to facilitate question's arrangement. This paper presents a review of Expert System for Special Education (ESSE), problems arises and the knowledge-based classification systems. © 2009 Springer Berlin Heidelberg.}, note = {cited By 2}, keywords = {Autism, Centralized Decision Making, Classification System, Decision Making, Errors, Expert Systems, Human Computer Interaction, Human Errors, Knowledge Engineering, Knowledge Management, Knowledge-Based Classification, Learning Disorder, Malaysia, Special Education, Teaching}, pubstate = {published}, tppubtype = {article} } This paper presents an Expert System for Special Education (ESSE) based on scenario in Malaysia. This system is developed through the process of knowledge-gaining which is gathered from various expertise in chosen domain. Realizing the limitation of traditional classification system that teachers adopted, we developed ESSE to automate a centralized decision making system. ESSE is also able to provide consistent answers for repetitive decisions, processes and tasks. Besides, teachers using this system hold and maintain significant level of information pertaining both learning disabilities, thus reduce amount of human errors. ESSE knowledge-based resulted from the knowledge engineering called Qualifiers and Choice. Both are gathered from the analysis of symptoms that are experienced by Autism and Dyslexia patients. Every type of disability is divided to several categories and sub-category to facilitate question's arrangement. This paper presents a review of Expert System for Special Education (ESSE), problems arises and the knowledge-based classification systems. © 2009 Springer Berlin Heidelberg. |