2020 |
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{Liang2020421, title = {Autism Spectrum Disorder Classification in Videos: A Hybrid of Temporal Coherency Deep Networks and Self-organizing Dual Memory Approach}, author = {S Liang and C K Loo and A Q Md Sabri}, editor = {Kim H -Y Kim K.J.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077496650&doi=10.1007%2f978-981-15-1465-4_42&partnerID=40&md5=8d885d212faf9e5a9d686c58a2e4eecd}, doi = {10.1007/978-981-15-1465-4_42}, issn = {18761100}, year = {2020}, date = {2020-01-01}, journal = {Lecture Notes in Electrical Engineering}, volume = {621}, pages = {421-430}, publisher = {Springer}, abstract = {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.}, note = {cited By 0}, keywords = {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}, pubstate = {published}, tppubtype = {article} } 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. |
Razali, N N C; Ghani, N A; Hisham, S I Intelligent Autism Screening Using Fuzzy Agent Journal Article Lecture Notes in Electrical Engineering, 632 , pp. 495-503, 2020, ISSN: 18761100, (cited By 0). Abstract | Links | BibTeX | Tags: Autistic Children, Children with Autism, Complex Processes, Diagnosis, Diseases, Fine Motors, Fuzzy Agents, Fuzzy Input, Screening Models, Second Opinions @article{Razali2020495, title = {Intelligent Autism Screening Using Fuzzy Agent}, author = {N N C Razali and N A Ghani and S I Hisham}, editor = {Najib Abdul Wahab Othman Abd Ghani Irawan Khatun Raja Ismail Saari Daud Mohd Faudzi M S Y N A N M A S R M T M M M R A A Kasruddin Nasir A.N. Ahmad M.A.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083080538&doi=10.1007%2f978-981-15-2317-5_42&partnerID=40&md5=c37fc825e41384f79ae2dd3361a504a7}, doi = {10.1007/978-981-15-2317-5_42}, issn = {18761100}, year = {2020}, date = {2020-01-01}, journal = {Lecture Notes in Electrical Engineering}, volume = {632}, pages = {495-503}, publisher = {Springer}, abstract = {In the diagnosis of diseases, either physical or psychological, there are situations causing reaching for second independent opinion very hard. This is especially true in the diagnosis of Autism due to the complex process of diagnosis. Apart from the complex process, the challenges include cost and the availability of experts. This, however, does not change the fact that having regular independent second opinions is crucial. Hence, this study proposes an intelligent autism screening model using fuzzy agent, to assist the expert and non-expert in making the diagnosis. In this study, the fuzzy inputs are assigned based on five categories, which are Communication, Gross Motor, Fine Motor, Problem Solving, and Personal Social, and is specifically for three-year-old children only. The proposed model will be able to produce output in the form of sequences based on lowest to highest mark of the scores for each category. This output will then relate to the suggestion of activities to autistic children by priority (based on the scores obtained). © 2020, Springer Nature Singapore Pte Ltd.}, note = {cited By 0}, keywords = {Autistic Children, Children with Autism, Complex Processes, Diagnosis, Diseases, Fine Motors, Fuzzy Agents, Fuzzy Input, Screening Models, Second Opinions}, pubstate = {published}, tppubtype = {article} } In the diagnosis of diseases, either physical or psychological, there are situations causing reaching for second independent opinion very hard. This is especially true in the diagnosis of Autism due to the complex process of diagnosis. Apart from the complex process, the challenges include cost and the availability of experts. This, however, does not change the fact that having regular independent second opinions is crucial. Hence, this study proposes an intelligent autism screening model using fuzzy agent, to assist the expert and non-expert in making the diagnosis. In this study, the fuzzy inputs are assigned based on five categories, which are Communication, Gross Motor, Fine Motor, Problem Solving, and Personal Social, and is specifically for three-year-old children only. The proposed model will be able to produce output in the form of sequences based on lowest to highest mark of the scores for each category. This output will then relate to the suggestion of activities to autistic children by priority (based on the scores obtained). © 2020, Springer Nature Singapore Pte Ltd. |
2019 |
Mohd, C K N C K; Shahbodin, F; Azni, A H; Jano, Z Visual perception games for autistic learners: Design & development Conference Association for Computing Machinery, 2019, ISBN: 9781450366212, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Autistic Children, Children with Autism, Design and Development, Diagnosis, Diagnostic Products, Diagnostic tools, Diseases, Education, Education Computing, High Incidence, Information and Communications Technology, Information Use, Patient Treatment, Serious Games, Special Education, Students, Vision, Visual Perception @conference{Mohd20195b, title = {Visual perception games for autistic learners: Design & development}, author = {C K N C K Mohd and F Shahbodin and A H Azni and Z Jano}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064918100&doi=10.1145%2f3314527.3314533&partnerID=40&md5=a3c6394e2cd86d31a30ed2d1f3b6e1e6}, doi = {10.1145/3314527.3314533}, isbn = {9781450366212}, year = {2019}, date = {2019-01-01}, journal = {ACM International Conference Proceeding Series}, pages = {5-11}, publisher = {Association for Computing Machinery}, abstract = {The use of information communication technologies (ICTs) in therapy offers new perspectives for treating many domains in individuals with autism spectrum disorders (ASD) because it is used in many different ways and settings and they are attractive to the patients. Students with autism have a high incidence of visual perception problems. They often have difficulty recognizing, remembering, organizing and interpreting visual images. As a result, they are easily confused in situations where written or pictorial symbols are utilised for learning. The paper reported the design and development of autism diagnostic tool using serious games technique. It is a tool for special education teachers to diagnose visual perception problems among autistic students. The game is known as Vi-Per Games. A diagnostic tool known as Vi-Per Games has been developed based on ADDIE model. Vi-Per Games is able to diagnose autistic students without the needs for teachers to have some experience and knowledge of diagnosing visual perception. This prototype will be a high-tech solution to diagnose visual perception problems designed for autistic children. © 2019 Association for Computing Machinery.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Autistic Children, Children with Autism, Design and Development, Diagnosis, Diagnostic Products, Diagnostic tools, Diseases, Education, Education Computing, High Incidence, Information and Communications Technology, Information Use, Patient Treatment, Serious Games, Special Education, Students, Vision, Visual Perception}, pubstate = {published}, tppubtype = {conference} } The use of information communication technologies (ICTs) in therapy offers new perspectives for treating many domains in individuals with autism spectrum disorders (ASD) because it is used in many different ways and settings and they are attractive to the patients. Students with autism have a high incidence of visual perception problems. They often have difficulty recognizing, remembering, organizing and interpreting visual images. As a result, they are easily confused in situations where written or pictorial symbols are utilised for learning. The paper reported the design and development of autism diagnostic tool using serious games technique. It is a tool for special education teachers to diagnose visual perception problems among autistic students. The game is known as Vi-Per Games. A diagnostic tool known as Vi-Per Games has been developed based on ADDIE model. Vi-Per Games is able to diagnose autistic students without the needs for teachers to have some experience and knowledge of diagnosing visual perception. This prototype will be a high-tech solution to diagnose visual perception problems designed for autistic children. © 2019 Association for Computing Machinery. |
Shahbodin, F; Mohd, C K N C K; Azni, A H; Jano, Z Visual perception games for autistic learners: Research findings Conference Association for Computing Machinery, 2019, ISBN: 9781450366212, (cited By 0). Abstract | Links | BibTeX | Tags: ADDIE Model, Autism, Autistic Children, Children with Autism, Conventional Methods, Diagnostic tools, Diseases, Education, Education Computing, Serious Games, Special Education, Students, Vision, Visual Perception @conference{Shahbodin201956, title = {Visual perception games for autistic learners: Research findings}, author = {F Shahbodin and C K N C K Mohd and A H Azni and Z Jano}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064943370&doi=10.1145%2f3314527.3314534&partnerID=40&md5=d8f7013f1b7932097d9c65379ec94aab}, doi = {10.1145/3314527.3314534}, isbn = {9781450366212}, year = {2019}, date = {2019-01-01}, journal = {ACM International Conference Proceeding Series}, pages = {56-60}, publisher = {Association for Computing Machinery}, abstract = {Early identification and diagnosis of autism is the key to minimize its negative effects and get the autistic children on the right path. This paper analyzed autism diagnostic tool using serious games technique namely Vi-Per Games. It is a tool for special education teachers to diagnose visual perception problems among autistic students. The development of the game is based on ADDIE model. The results show that the use of Vi-Per Games successfully assist and facilitate teachers when making a diagnosis of visual perception problems in autistic students, compared with conventional methods of diagnosis. Diagnosing visual perception problems using serious games gives teachers and students enjoyable experiences in a way that no other medium can offer. © 2019 Association for Computing Machinery.}, note = {cited By 0}, keywords = {ADDIE Model, Autism, Autistic Children, Children with Autism, Conventional Methods, Diagnostic tools, Diseases, Education, Education Computing, Serious Games, Special Education, Students, Vision, Visual Perception}, pubstate = {published}, tppubtype = {conference} } Early identification and diagnosis of autism is the key to minimize its negative effects and get the autistic children on the right path. This paper analyzed autism diagnostic tool using serious games technique namely Vi-Per Games. It is a tool for special education teachers to diagnose visual perception problems among autistic students. The development of the game is based on ADDIE model. The results show that the use of Vi-Per Games successfully assist and facilitate teachers when making a diagnosis of visual perception problems in autistic students, compared with conventional methods of diagnosis. Diagnosing visual perception problems using serious games gives teachers and students enjoyable experiences in a way that no other medium can offer. © 2019 Association for Computing Machinery. |
2018 |
Basir, N; Hashim, A F M; Abdullah, S; Rahim, N A A; Sabri, M; Yusuf, A H; Harun, W N; Buragohain, D 150 , EDP Sciences, 2018, ISSN: 2261236X, (cited By 0). Abstract | Links | BibTeX | Tags: Application Programs, Articulation Points, Autistic Children, Children with Autism, Diseases, Distributed Computer Systems, Human Development, Linguistics, Malay Languages, Malaysia, Reading Comprehension, Reading Skills, Software Applications, Touchscreens @conference{Basir2018, title = {"talking Phonics for Autism": Developing a multi-purpose touch screen technology software application which utilizes sound articulation point to teach autistic children}, author = {N Basir and A F M Hashim and S Abdullah and N A A Rahim and M Sabri and A H Yusuf and W N Harun and D Buragohain}, editor = {Mohd Salleh M A A Aljunid Syed Junid S.A. Rashidi C.B.M.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054012883&doi=10.1051%2fmatecconf%2f201815005040&partnerID=40&md5=d0cb0e71818be5cd02d2b28e936f45d7}, doi = {10.1051/matecconf/201815005040}, issn = {2261236X}, year = {2018}, date = {2018-01-01}, journal = {MATEC Web of Conferences}, volume = {150}, publisher = {EDP Sciences}, abstract = {This paper aims to examine the potentials of the multi-purpose touch screen technology application which utilizes a sound articulation point software called "TALKING PHONICS FOR AUTISMäs an alternative method of teaching phonics to autistic children. "TALKING PHONICS FOR AUTISM"is developed via a collaborative effort between the Centre of International Languages (CIL) and the School of Human Development and techno Communication (iKOM), University Malaysia Perlis (UniMAP). The reading skills of autism children are developed intofive (5) levels ofMalay reading comprehension skills. The first level consists of open syllables - vowels and consonants. The following consecutivethree levels comprised of closed syllables. The fourth level introduces vocal sequence while the fifth level constitutes of Malay language loans. The Malay-language dialect phonological theory by Tajul Aripin Kassin (2000) which is based on Clements & Keysher's (1980) Generative Booking Generic Fonology Model (CV) forms the theorectical framework of this paper. © 2017 The Authors.}, note = {cited By 0}, keywords = {Application Programs, Articulation Points, Autistic Children, Children with Autism, Diseases, Distributed Computer Systems, Human Development, Linguistics, Malay Languages, Malaysia, Reading Comprehension, Reading Skills, Software Applications, Touchscreens}, pubstate = {published}, tppubtype = {conference} } This paper aims to examine the potentials of the multi-purpose touch screen technology application which utilizes a sound articulation point software called "TALKING PHONICS FOR AUTISMäs an alternative method of teaching phonics to autistic children. "TALKING PHONICS FOR AUTISM"is developed via a collaborative effort between the Centre of International Languages (CIL) and the School of Human Development and techno Communication (iKOM), University Malaysia Perlis (UniMAP). The reading skills of autism children are developed intofive (5) levels ofMalay reading comprehension skills. The first level consists of open syllables - vowels and consonants. The following consecutivethree levels comprised of closed syllables. The fourth level introduces vocal sequence while the fifth level constitutes of Malay language loans. The Malay-language dialect phonological theory by Tajul Aripin Kassin (2000) which is based on Clements & Keysher's (1980) Generative Booking Generic Fonology Model (CV) forms the theorectical framework of this paper. © 2017 The Authors. |
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. |
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. |
Sudirman, R; Hussin, S S; Airij, A G; Hai, C Z Profile indicator for autistic children using EEG biosignal potential of sensory tasks Conference Institute of Electrical and Electronics Engineers Inc., 2018, ISBN: 9781538612774, (cited By 0). Abstract | Links | BibTeX | Tags: Autistic Children, Biomedical Signal Processing, Brain, Children with Autism, Electroencephalography, Electrophysiology, Entropy Approximations, Independent Component Analysis, MATLAB, Neural Networks, Neurological Problems, Sensory Analysis, Sensory Profiles, Sensory Stimulation, Wavelet Packet Transforms @conference{Sudirman2018136, title = {Profile indicator for autistic children using EEG biosignal potential of sensory tasks}, author = {R Sudirman and S S Hussin and A G Airij and C Z Hai}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058032461&doi=10.1109%2fICBAPS.2018.8527403&partnerID=40&md5=30dbb1596f4a0529332713c087bd788d}, doi = {10.1109/ICBAPS.2018.8527403}, isbn = {9781538612774}, year = {2018}, date = {2018-01-01}, journal = {2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018}, pages = {136-141}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Electroencephalography (EEG) is a measure of voltages caused due to neural activities within the brain. EEG is a recommended tool for diagnosing neurological problems because it is non-invasive and can be recorded over a longer time-period. The children with Autism Spectrum Disorder (ASD) have difficulty in expressing their emotions due to their inability of proper information processing in brain. Therefore, this research aims to build a sensory profile with the help of EEG biosignal potential to distinguish among different sensory responses. The EEG signals acquired in this research identify different emotional states such as positive-thinking or super-learning and light-relaxation and are within the frequency range of 8-12 Hertz. 64 children participated in this research among which 34 were children with ASD and 30 were normal children. The EEG data was recoded while all the children were provided with vestibular, visual, sound, taste and vestibular sensory stimulations. The raw EEG data was filtered with the help of independent component analysis (ICA) using wavelet transform and EEGLAB software. Later, for building the sensory profile, entropy approximation, means and standard deviations were extracted from the filtered EEG signals. Along with that, the filtered EEG data was also fed to a neural networks (NN) algorithm which was implemented in MATLAB. Results from the acquired EEG signals depicted that during the sensory stimulation phase, the responses of all autistic children were in an unstable state. These findings will equip and aid their learning strategy in the future. © 2018 IEEE.}, note = {cited By 0}, keywords = {Autistic Children, Biomedical Signal Processing, Brain, Children with Autism, Electroencephalography, Electrophysiology, Entropy Approximations, Independent Component Analysis, MATLAB, Neural Networks, Neurological Problems, Sensory Analysis, Sensory Profiles, Sensory Stimulation, Wavelet Packet Transforms}, pubstate = {published}, tppubtype = {conference} } Electroencephalography (EEG) is a measure of voltages caused due to neural activities within the brain. EEG is a recommended tool for diagnosing neurological problems because it is non-invasive and can be recorded over a longer time-period. The children with Autism Spectrum Disorder (ASD) have difficulty in expressing their emotions due to their inability of proper information processing in brain. Therefore, this research aims to build a sensory profile with the help of EEG biosignal potential to distinguish among different sensory responses. The EEG signals acquired in this research identify different emotional states such as positive-thinking or super-learning and light-relaxation and are within the frequency range of 8-12 Hertz. 64 children participated in this research among which 34 were children with ASD and 30 were normal children. The EEG data was recoded while all the children were provided with vestibular, visual, sound, taste and vestibular sensory stimulations. The raw EEG data was filtered with the help of independent component analysis (ICA) using wavelet transform and EEGLAB software. Later, for building the sensory profile, entropy approximation, means and standard deviations were extracted from the filtered EEG signals. Along with that, the filtered EEG data was also fed to a neural networks (NN) algorithm which was implemented in MATLAB. Results from the acquired EEG signals depicted that during the sensory stimulation phase, the responses of all autistic children were in an unstable state. These findings will equip and aid their learning strategy in the future. © 2018 IEEE. |
2017 |
Noor, Helmi Adly Mohd; Shahbodin, Faaizah; Ananta, Gede Pramudya; Mohd, Cik Ku Nuraini Che Ku; Razali, Syarifah Nadiyah; Khalid, Mohd Sazali; Kassim, Rahimah; Rahman, Fauziah Abdul; Baharum, Zirawani A prototype development of visual perception diagnosis games for autism children Journal Article INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES, 4 (3), pp. 68-72, 2017, ISSN: 2313-626X. Abstract | Links | BibTeX | Tags: Autism, Autistic Children, Children with Autism, Serious Games, Special Education, Visual Perception @article{ISI:000397423300011, title = {A prototype development of visual perception diagnosis games for autism children}, author = {Helmi Adly Mohd Noor and Faaizah Shahbodin and Gede Pramudya Ananta and Cik Ku Nuraini Che Ku Mohd and Syarifah Nadiyah Razali and Mohd Sazali Khalid and Rahimah Kassim and Fauziah Abdul Rahman and Zirawani Baharum}, url = {http://science-gate.com/IJAAS/Articles/2017-4-3/11%202017-4-3-pp.68-72.pdf}, doi = {10.21833/ijaas.2017.03.011}, issn = {2313-626X}, year = {2017}, date = {2017-03-01}, journal = {INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES}, volume = {4}, number = {3}, pages = {68-72}, publisher = {INST ADVANCED SCIENCE EXTENSION}, address = {PO BOX 23-31,, TAIPEI, 00000, TAIWAN}, abstract = {In order to minimize the negative effects of autism, early identification and diagnosis are the solutions to get students on the right road to dealing with the problems related to autism and overcoming them. The objective of this research is to develop serious games as a tool for special education teachers to diagnose visual perception problems in autistic students. The development of the visual perception diagnosis games is using the Chalfant diagnosis theory. These diagnostic tools show that it assist and help teachers to diagnose their autism students without the teachers needing to have some experience and knowledge of diagnosing visual perception. This prototype will be a high-tech solution to diagnosing visual perception problems designed for autistic children. (C) 2017 The Authors. Published by IASE.}, keywords = {Autism, Autistic Children, Children with Autism, Serious Games, Special Education, Visual Perception}, pubstate = {published}, tppubtype = {article} } In order to minimize the negative effects of autism, early identification and diagnosis are the solutions to get students on the right road to dealing with the problems related to autism and overcoming them. The objective of this research is to develop serious games as a tool for special education teachers to diagnose visual perception problems in autistic students. The development of the visual perception diagnosis games is using the Chalfant diagnosis theory. These diagnostic tools show that it assist and help teachers to diagnose their autism students without the teachers needing to have some experience and knowledge of diagnosing visual perception. This prototype will be a high-tech solution to diagnosing visual perception problems designed for autistic children. (C) 2017 The Authors. Published by IASE. |
Ilias, S; Tahir, N M; Jailani, R; Hasan, C Z C Linear Discriminant Analysis in Classifying Walking Gait of Autistic Children Conference Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781538614099, (cited By 0). Abstract | Links | BibTeX | Tags: Autism, Autistic Children, Children with Autism, Discriminant Analysis, Diseases, Extraction, Feature Extraction, Gait Analysis, Gait Classification, Kinematics, Linear Discriminant Analysis, Motion Analysis System, Neural Networks, Principal Component Analysis, Three-Dimensional @conference{Ilias201767, title = {Linear Discriminant Analysis in Classifying Walking Gait of Autistic Children}, author = {S Ilias and N M Tahir and R Jailani and C Z C Hasan}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048377850&doi=10.1109%2fEMS.2017.22&partnerID=40&md5=06de53be2b4f3976ddcc420067ab6e44}, doi = {10.1109/EMS.2017.22}, isbn = {9781538614099}, year = {2017}, date = {2017-01-01}, journal = {Proceedings - UKSim-AMSS 11th European Modelling Symposium on Computer Modelling and Simulation, EMS 2017}, pages = {67-72}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {The aim of this research is to investigate the effectiveness between Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) along with neural network (NN) in classifying the gait of autistic children as compared to control group. Twelve autistic children and thirty two normal children participated in this study. Firstly the walking gait of these two groups are acquired using VICON Motion Analysis System to extract the three dimensional (3D) gait features that comprised of 21 gait features namely five features from basic temporal spatial, five features represented the kinetic parameters and twelve features from kinematic. Further, PCA and LDA are utilized as feature extraction in determining the significant features among these gait features. With NN as classifier, results showed that LDA as feature extraction outperform PCA for classification of autism versus normal children namely kinematic gait patterns attained 98.44% accuracy followed by basic temporal spatial gait features with accuracy of 87.5%. © 2017 IEEE.}, note = {cited By 0}, keywords = {Autism, Autistic Children, Children with Autism, Discriminant Analysis, Diseases, Extraction, Feature Extraction, Gait Analysis, Gait Classification, Kinematics, Linear Discriminant Analysis, Motion Analysis System, Neural Networks, Principal Component Analysis, Three-Dimensional}, pubstate = {published}, tppubtype = {conference} } The aim of this research is to investigate the effectiveness between Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) along with neural network (NN) in classifying the gait of autistic children as compared to control group. Twelve autistic children and thirty two normal children participated in this study. Firstly the walking gait of these two groups are acquired using VICON Motion Analysis System to extract the three dimensional (3D) gait features that comprised of 21 gait features namely five features from basic temporal spatial, five features represented the kinetic parameters and twelve features from kinematic. Further, PCA and LDA are utilized as feature extraction in determining the significant features among these gait features. With NN as classifier, results showed that LDA as feature extraction outperform PCA for classification of autism versus normal children namely kinematic gait patterns attained 98.44% accuracy followed by basic temporal spatial gait features with accuracy of 87.5%. © 2017 IEEE. |
Azahari, I N N A; Ahmad, Wan W F; Hashim, A S; Jamaludin, Z User experience of autism social-aid among autistic children: AUTISM social aid application Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10645 LNCS , pp. 391-397, 2017, ISSN: 03029743, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Education, Mobile Applications, Mobile Computing, Mobile Telecommunication Systems, Social Communications, Social Interactions, Teaching, User Experience @article{Azahari2017391, title = {User experience of autism social-aid among autistic children: AUTISM social aid application}, author = {I N N A Azahari and W F Wan Ahmad and A S Hashim and Z Jamaludin}, editor = {Robinson Smeaton Terutoshi Badioze Zaman Jaafar Mohamad Ali P A F T H A N Shih T.K. Velastin S.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035144320&doi=10.1007%2f978-3-319-70010-6_36&partnerID=40&md5=be011b83ad6f806d1c23182f1e9250a2}, doi = {10.1007/978-3-319-70010-6_36}, issn = {03029743}, year = {2017}, date = {2017-01-01}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {10645 LNCS}, pages = {391-397}, publisher = {Springer Verlag}, abstract = {Autism is a developmental disability that influences a significant number of daily skills, which includes social, communication and behavioural challenges. Technology has proven as one of the prompt intermediation and efficient educational method that leads to infinite improvement especially for children. Autistic children seem to have difficulties in communication and social skills and as a result of this need their teachers and parents’ support with their social interaction. Numerous educational practices and approaches have been carried out in order to assist as well as develop these children. This paper presents the results of user experience testing of Autism Social-Aid mobile application to children with autism. The session was conducted to children with medium functioning Autism Spectrum Disorder, from two different age groups that include 5–14 years old and 14–18 years old. The children’s reactions were observed and scored by a moderator. Results have shown that majority of the children with autism are more confident and satisfied when using the application. The application does need to be improved in ways that could capture the child’s attention towards the mobile activities. © Springer International Publishing AG 2017.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Education, Mobile Applications, Mobile Computing, Mobile Telecommunication Systems, Social Communications, Social Interactions, Teaching, User Experience}, pubstate = {published}, tppubtype = {article} } Autism is a developmental disability that influences a significant number of daily skills, which includes social, communication and behavioural challenges. Technology has proven as one of the prompt intermediation and efficient educational method that leads to infinite improvement especially for children. Autistic children seem to have difficulties in communication and social skills and as a result of this need their teachers and parents’ support with their social interaction. Numerous educational practices and approaches have been carried out in order to assist as well as develop these children. This paper presents the results of user experience testing of Autism Social-Aid mobile application to children with autism. The session was conducted to children with medium functioning Autism Spectrum Disorder, from two different age groups that include 5–14 years old and 14–18 years old. The children’s reactions were observed and scored by a moderator. Results have shown that majority of the children with autism are more confident and satisfied when using the application. The application does need to be improved in ways that could capture the child’s attention towards the mobile activities. © Springer International Publishing AG 2017. |
2015 |
Shamsuddin, S; Yussof, H; Hanapiah, F A; Mohamed, S A content validated tool to observe autism behavior in child-robot interaction Conference 2015-November , Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781467367042, (cited By 1). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autistic Children, Child-Robot Interactions, Children with Autism, Cronbach's Alphas, Diseases, Humanoid Robot, Internal Consistency, Mental Disorders, Robotics, Robots, Validation Study @conference{Shamsuddin201543, title = {A content validated tool to observe autism behavior in child-robot interaction}, author = {S Shamsuddin and H Yussof and F A Hanapiah and S Mohamed}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954049574&doi=10.1109%2fROMAN.2015.7333578&partnerID=40&md5=2a25d12804ba227de6f26eca7b46f770}, doi = {10.1109/ROMAN.2015.7333578}, isbn = {9781467367042}, year = {2015}, date = {2015-01-01}, journal = {Proceedings - IEEE International Workshop on Robot and Human Interactive Communication}, volume = {2015-November}, pages = {43-47}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {This research presents the validation study of a qualitative tool to analyze the response in robot-based intervention. The 24 behavioral items in the tool were determined through routine observations carried out by clinicians and the definitions of autism adopted by the Diagnostic and Statistical Manual of Mental Disorders: Fourth Edition-Text Revision (DSM-IV-TR). 34 experts determined content validity and tool reliability by viewpoints through the Likert scale. The tool was found to have good content validity with more than 67% of experts scored at least 3 on the 5-point Likert scale. Cronbach's alpha coefficient of 0.872 reflected the tool's content reliability and internal consistency. The tool was used to analyze the behavior response of children with autism when exposed to a humanoid robot. It functioned as a score-sheet to compare the behavior of autistic children with and without the presence of a robot. These findings put forward a tool with contents considered valid to evaluate behavior outcome of studies involving children with autism and robots. © 2015 IEEE.}, note = {cited By 1}, keywords = {Anthropomorphic Robots, Autistic Children, Child-Robot Interactions, Children with Autism, Cronbach's Alphas, Diseases, Humanoid Robot, Internal Consistency, Mental Disorders, Robotics, Robots, Validation Study}, pubstate = {published}, tppubtype = {conference} } This research presents the validation study of a qualitative tool to analyze the response in robot-based intervention. The 24 behavioral items in the tool were determined through routine observations carried out by clinicians and the definitions of autism adopted by the Diagnostic and Statistical Manual of Mental Disorders: Fourth Edition-Text Revision (DSM-IV-TR). 34 experts determined content validity and tool reliability by viewpoints through the Likert scale. The tool was found to have good content validity with more than 67% of experts scored at least 3 on the 5-point Likert scale. Cronbach's alpha coefficient of 0.872 reflected the tool's content reliability and internal consistency. The tool was used to analyze the behavior response of children with autism when exposed to a humanoid robot. It functioned as a score-sheet to compare the behavior of autistic children with and without the presence of a robot. These findings put forward a tool with contents considered valid to evaluate behavior outcome of studies involving children with autism and robots. © 2015 IEEE. |
Sitimin, S A; Ismail, Z; Fikry, A; Hassan, H; Ahmad, S S; Samat, N; Musa, R; Hashim, R A review on employee benefits for working parents with autistic children Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 1). Abstract | Links | BibTeX | Tags: Autism, Autistic Children, Children with Autism, Communication Skills, Developed Countries, Diseases, Employee Benefits, Manufacture, Robotics, Social Interactions, Working Parents @conference{Sitimin2015176, title = {A review on employee benefits for working parents with autistic children}, author = {S A Sitimin and Z Ismail and A Fikry and H Hassan and S S Ahmad and N Samat and R Musa and R Hashim}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959565959&doi=10.1109%2fROMA.2014.7295883&partnerID=40&md5=30b39811730957e0eb810658605e007a}, doi = {10.1109/ROMA.2014.7295883}, isbn = {9781479957651}, year = {2015}, date = {2015-01-01}, journal = {2014 IEEE International Symposium on Robotics and Manufacturing Automation, IEEE-ROMA2014}, pages = {176-179}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Autism is a behavioural illness categorized based on poor communication skills, lack of social interaction and weird way of playing. As a caregiver and a worker at the same time, 78 per cent of employees sometimes had to take short time off or leave early from work, come to work late, and being absence for a long period of time. Since children with autism needs more health services and attention, working parents are hoping to get better employees benefits from their employers. Mostly, in developed countries such as United States, employee benefits for working parents with autistic children is applicable but the employees benefits provided are very limited and it is based on the organization's benefit policies. This research provides a general review on previous related studies especially the one which is closely related to employee benefits for working parents with autistic children. Thus, this research can contribute to the new knowledge in creating special employee benefits in the workplace for working parents with autistic children globally. © 2014 IEEE.}, note = {cited By 1}, keywords = {Autism, Autistic Children, Children with Autism, Communication Skills, Developed Countries, Diseases, Employee Benefits, Manufacture, Robotics, Social Interactions, Working Parents}, pubstate = {published}, tppubtype = {conference} } Autism is a behavioural illness categorized based on poor communication skills, lack of social interaction and weird way of playing. As a caregiver and a worker at the same time, 78 per cent of employees sometimes had to take short time off or leave early from work, come to work late, and being absence for a long period of time. Since children with autism needs more health services and attention, working parents are hoping to get better employees benefits from their employers. Mostly, in developed countries such as United States, employee benefits for working parents with autistic children is applicable but the employees benefits provided are very limited and it is based on the organization's benefit policies. This research provides a general review on previous related studies especially the one which is closely related to employee benefits for working parents with autistic children. Thus, this research can contribute to the new knowledge in creating special employee benefits in the workplace for working parents with autistic children globally. © 2014 IEEE. |
Isa, N R M; Yusoff, M; Khalid, N E; Tahir, N; Nikmat, Binti A W Autism severity level detection using fuzzy expert system Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 2). Abstract | Links | BibTeX | Tags: Autism, Autism Severity Level, Autistic Children, Children with Autism, Data Acquisition, Developmental Disorders, Diseases, Education, Expert Systems, Fuzzy Expert Systems, Level Detections, Manufacture, Robotics, Social Communications, Surveys, System Architectures, Teaching @conference{Isa2015218, title = {Autism severity level detection using fuzzy expert system}, author = {N R M Isa and M Yusoff and N E Khalid and N Tahir and A W Binti Nikmat}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959503922&doi=10.1109%2fROMA.2014.7295891&partnerID=40&md5=63e742d59b785d14f87d98dac7dd71ee}, doi = {10.1109/ROMA.2014.7295891}, isbn = {9781479957651}, year = {2015}, date = {2015-01-01}, journal = {2014 IEEE International Symposium on Robotics and Manufacturing Automation, IEEE-ROMA2014}, pages = {218-223}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Autism is a neuro developmental disorder that is recently well known among Malaysian. Many researches on autism detection have been conducted worldwide. However, there is lack of research conducted in detecting autism severity level. Therefore, this paper focuses on autism severity level detection using fuzzy expert system. Two main autistic behavioral criteria are selected which are social communication impairment and restricted repetitive behavior. Data acquisition was based on interview sessions with clinical psychologist and distribution of 36 questionnaires to teachers and parents that have autistic children. It was then analyzed and the cut off points for each severity level; level 1 (mild), level 2 (moderate), and level 3 (severe) is determined. The fuzzy expert system processes are employed to detect the severity levels. The processes involve Fuzzy system architecture, fuzzification, rules evaluation, rules evaluation and defuzzification. The finding demonstrates that the system is able to detect autism severity level with a good accuracy. This system also accommodates with suitable recommendation based on the generated result whether the suggestion is to go for speech therapy or behavior therapy. © 2014 IEEE.}, note = {cited By 2}, keywords = {Autism, Autism Severity Level, Autistic Children, Children with Autism, Data Acquisition, Developmental Disorders, Diseases, Education, Expert Systems, Fuzzy Expert Systems, Level Detections, Manufacture, Robotics, Social Communications, Surveys, System Architectures, Teaching}, pubstate = {published}, tppubtype = {conference} } Autism is a neuro developmental disorder that is recently well known among Malaysian. Many researches on autism detection have been conducted worldwide. However, there is lack of research conducted in detecting autism severity level. Therefore, this paper focuses on autism severity level detection using fuzzy expert system. Two main autistic behavioral criteria are selected which are social communication impairment and restricted repetitive behavior. Data acquisition was based on interview sessions with clinical psychologist and distribution of 36 questionnaires to teachers and parents that have autistic children. It was then analyzed and the cut off points for each severity level; level 1 (mild), level 2 (moderate), and level 3 (severe) is determined. The fuzzy expert system processes are employed to detect the severity levels. The processes involve Fuzzy system architecture, fuzzification, rules evaluation, rules evaluation and defuzzification. The finding demonstrates that the system is able to detect autism severity level with a good accuracy. This system also accommodates with suitable recommendation based on the generated result whether the suggestion is to go for speech therapy or behavior therapy. © 2014 IEEE. |
Rani, N M; Legino, R; Mudzafar, N; Kamaruzaman, M F Embedded visual schedule application towards autistic children development: A prelimenary study Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479945955, (cited By 5). Abstract | Links | BibTeX | Tags: Android Markets, Application Programs, Autism, Autistic Children, Children with Autism, Conceptual Model, Digital Organizer, Engineering Education, Executive Dysfunctions, Independence, Organizational Skills @conference{Rani2015129, title = {Embedded visual schedule application towards autistic children development: A prelimenary study}, author = {N M Rani and R Legino and N Mudzafar and M F Kamaruzaman}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957093092&doi=10.1109%2fICEED.2014.7194701&partnerID=40&md5=3b168313fec053724a2650001c64185c}, doi = {10.1109/ICEED.2014.7194701}, isbn = {9781479945955}, year = {2015}, date = {2015-01-01}, journal = {ICEED 2014 - 2014 IEEE 6th Conference on Engineering Education}, pages = {129-132}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Organizational skills are essential for every individual to lead an independent life. For autistic individuals, living an independent life is a big challenge. One of the reasons is because of executive dysfunction that they experience. Executive dysfunction is a drawback for autistic individuals in terms of organizational skills. However, it is found that the use of digital organizers may be helpful to enhance these individuals' quality of life. Although there are a few numbers of digital organizers for autistic users in the android market, not many studies were able to proof the effectiveness in engaging autistic users with the tools in global context. Therefore, a conceptual model will be proposed in this study based on related studies. With the aim to explore the potential of digital organizer applications to Malaysian autistic users, this study will be significant in designing appropriate instructional program for autistic children development. © 2014 IEEE.}, note = {cited By 5}, keywords = {Android Markets, Application Programs, Autism, Autistic Children, Children with Autism, Conceptual Model, Digital Organizer, Engineering Education, Executive Dysfunctions, Independence, Organizational Skills}, pubstate = {published}, tppubtype = {conference} } Organizational skills are essential for every individual to lead an independent life. For autistic individuals, living an independent life is a big challenge. One of the reasons is because of executive dysfunction that they experience. Executive dysfunction is a drawback for autistic individuals in terms of organizational skills. However, it is found that the use of digital organizers may be helpful to enhance these individuals' quality of life. Although there are a few numbers of digital organizers for autistic users in the android market, not many studies were able to proof the effectiveness in engaging autistic users with the tools in global context. Therefore, a conceptual model will be proposed in this study based on related studies. With the aim to explore the potential of digital organizer applications to Malaysian autistic users, this study will be significant in designing appropriate instructional program for autistic children development. © 2014 IEEE. |
Miskam, M A; Shamsuddin, S; Yussof, H; Omar, A R; Muda, M Z Programming platform for NAO robot in cognitive interaction applications Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 2). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Spectrum Disorders, Autistic Children, Children with Autism, Choregraphe, Cognitive Interaction, Computer Program, Computer Software, Diseases, Humanoid Robot, Humanoid Robot NAO, In-Buildings, Manufacture, Patient Rehabilitation, Robotics, Robots, Social Cognition @conference{Miskam2015141, title = {Programming platform for NAO robot in cognitive interaction applications}, author = {M A Miskam and S Shamsuddin and H Yussof and A R Omar and M Z Muda}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959542262&doi=10.1109%2fROMA.2014.7295877&partnerID=40&md5=32eeaf0a717a0ce0a5c8bc5a7cb7de89}, doi = {10.1109/ROMA.2014.7295877}, isbn = {9781479957651}, year = {2015}, date = {2015-01-01}, journal = {2014 IEEE International Symposium on Robotics and Manufacturing Automation, IEEE-ROMA2014}, pages = {141-146}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {The humanoid robot NAO is a ready-made exploration platform that comes with a Choregraphe software to program and animate it Choregraphe is a powerful tool that allows programming in Python for motion control In this paper, we explore how Choregraphe can aid users in building basic cognitive interaction modules specifically for the rehabilitation of autistic children. Difficulty to interact with others and impaired social cognition are some of the core symptoms of autism. A robot in human form has the ability to help encourage children to interact and respond to dialogue cues. Comparison between Choregraphe and another programing tool in embedding cognitive interaction ability into the NAO robot is discussed. © 2014 IEEE.}, note = {cited By 2}, keywords = {Anthropomorphic Robots, Autism Spectrum Disorders, Autistic Children, Children with Autism, Choregraphe, Cognitive Interaction, Computer Program, Computer Software, Diseases, Humanoid Robot, Humanoid Robot NAO, In-Buildings, Manufacture, Patient Rehabilitation, Robotics, Robots, Social Cognition}, pubstate = {published}, tppubtype = {conference} } The humanoid robot NAO is a ready-made exploration platform that comes with a Choregraphe software to program and animate it Choregraphe is a powerful tool that allows programming in Python for motion control In this paper, we explore how Choregraphe can aid users in building basic cognitive interaction modules specifically for the rehabilitation of autistic children. Difficulty to interact with others and impaired social cognition are some of the core symptoms of autism. A robot in human form has the ability to help encourage children to interact and respond to dialogue cues. Comparison between Choregraphe and another programing tool in embedding cognitive interaction ability into the NAO robot is discussed. © 2014 IEEE. |
2014 |
Samat, M R A; Shamsuddin, S; Miskam, M A; Yussof, H Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479966790, (cited By 1). Abstract | Links | BibTeX | Tags: Algorithms, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Essential Elements, Face Recognition, Face Recognition Algorithms, Robotics, Social Communications, Training Modules @conference{Samat2014, title = {Development of face recognition algorithm for enhancement of social communication of robotic assistive autism therapy}, author = {M R A Samat and S Shamsuddin and M A Miskam and H Yussof}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922181743&doi=10.1109%2fMHS.2014.7006062&partnerID=40&md5=a995285772a99b9a81c11f49e0a94341}, doi = {10.1109/MHS.2014.7006062}, isbn = {9781479966790}, year = {2014}, date = {2014-01-01}, journal = {2014 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2014}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {In this paper, we propose a face recognition method for tracking, detecting and recognizing the faces of children with Autism Spectrum Disorder (ASD) for robotic assistive therapy application. ASD is a brain developmental disorder that manifests itself through a person's behavior and social-communication skill [1]. Face recognition stage is an essential element in robotic assistive therapy since it is the first interaction step that occurs between autistic children and robot. The algorithm aims to encourage autistic children to interact and to capture their attention using a robot that recognizes their faces. This is to establish a beneficial training environment for autistic children before engaging further in the training module. © 2014 IEEE.}, note = {cited By 1}, keywords = {Algorithms, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Essential Elements, Face Recognition, Face Recognition Algorithms, Robotics, Social Communications, Training Modules}, pubstate = {published}, tppubtype = {conference} } In this paper, we propose a face recognition method for tracking, detecting and recognizing the faces of children with Autism Spectrum Disorder (ASD) for robotic assistive therapy application. ASD is a brain developmental disorder that manifests itself through a person's behavior and social-communication skill [1]. Face recognition stage is an essential element in robotic assistive therapy since it is the first interaction step that occurs between autistic children and robot. The algorithm aims to encourage autistic children to interact and to capture their attention using a robot that recognizes their faces. This is to establish a beneficial training environment for autistic children before engaging further in the training module. © 2014 IEEE. |
Kamaruzaman, M F; Azahari, M H H Form design development study on autistic counting skill learning application Conference Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479945559, (cited By 10). Abstract | Links | BibTeX | Tags: Autistic Children, Children with Autism, Computer Aided Instruction, Counting Skill, Design Process, Diseases, Education, Embedded Technology, Engineering Education, Learning, Theoretical Framework, Touchscreens @conference{Kamaruzaman201470, title = {Form design development study on autistic counting skill learning application}, author = {M F Kamaruzaman and M H H Azahari}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925947367&doi=10.1109%2fI4CT.2014.6914148&partnerID=40&md5=60cc4a83e2af10b36fafacd86d05c6c3}, doi = {10.1109/I4CT.2014.6914148}, isbn = {9781479945559}, year = {2014}, date = {2014-01-01}, journal = {I4CT 2014 - 1st International Conference on Computer, Communications, and Control Technology, Proceedings}, pages = {70-74}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Children with autism have their own set of impairments that affect their developments. Thus, the chance to attain self-determination may be critical for most if not all of autistic children. However, it is essential for them to obtain vital skill system in order to achieve a certain level of independent. Thus, it is necessary for every autistic children to acquire basic counting skills to enhance their self-determination. With the emergence of assistive learning technology such as Smartphone, PDA, tablets and laptop with touch screen facility, there are new certain ways to enrich the quality of life for individuals with autism. This study aims to explore the basic counting skills based dynamic visual for children with autism that will possibly be of assistance to parents, educators and facilitators in the development of digital assistive learning tools to meet the needs of autistic children's learning environment. From the proposed theoretical framework, an application was designed and tested on some of autistic users. Based on the observation of the experiment, the users showed positive attitude towards the outcome of the application. © 2014 IEEE.}, note = {cited By 10}, keywords = {Autistic Children, Children with Autism, Computer Aided Instruction, Counting Skill, Design Process, Diseases, Education, Embedded Technology, Engineering Education, Learning, Theoretical Framework, Touchscreens}, pubstate = {published}, tppubtype = {conference} } Children with autism have their own set of impairments that affect their developments. Thus, the chance to attain self-determination may be critical for most if not all of autistic children. However, it is essential for them to obtain vital skill system in order to achieve a certain level of independent. Thus, it is necessary for every autistic children to acquire basic counting skills to enhance their self-determination. With the emergence of assistive learning technology such as Smartphone, PDA, tablets and laptop with touch screen facility, there are new certain ways to enrich the quality of life for individuals with autism. This study aims to explore the basic counting skills based dynamic visual for children with autism that will possibly be of assistance to parents, educators and facilitators in the development of digital assistive learning tools to meet the needs of autistic children's learning environment. From the proposed theoretical framework, an application was designed and tested on some of autistic users. Based on the observation of the experiment, the users showed positive attitude towards the outcome of the application. © 2014 IEEE. |
2013 |
Shamsuddin, S; Yussof, H; Hanapiah, F A; Mohamed, S A Qualitative method to analyze response in robotic intervention for children with autism Conference 2013, ISBN: 9781479905072, (cited By 2). Abstract | Links | BibTeX | Tags: Autism Intervention, Autistic Children, Behavioral Assessment, Children with Autism, Communication, Diseases, Qualitative Analysis, Qualitative Method, Qualitative Observations, Robotics, Robots, Screening Instruments @conference{Shamsuddin2013324, title = {A Qualitative method to analyze response in robotic intervention for children with autism}, author = {S Shamsuddin and H Yussof and F A Hanapiah and S Mohamed}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84889566919&doi=10.1109%2fROMAN.2013.6628477&partnerID=40&md5=81cd5bf09c75f3d9e6ed4a23ce2362e5}, doi = {10.1109/ROMAN.2013.6628477}, isbn = {9781479905072}, year = {2013}, date = {2013-01-01}, journal = {Proceedings - IEEE International Workshop on Robot and Human Interactive Communication}, pages = {324-325}, abstract = {This paper presents a method to carry out qualitative analysis when evaluating the interaction between child and robot in autism intervention. The technique consists of 24-items of behavioral assessment which was referenced to the Gilliam Autism Rating Scale-Second Edition (GARS-2). GARS-2 is a screening instrument used to identify and diagnose autism. Preliminary results from a pilot study show that this method had allowed qualitative observation to be carried out to compare the behavior of autistic children with and without the presence of a robot. The feasibility of this technique will be further justified through future wide-spread studies involving a larger number of children spanning across the whole spectrum of autism. © 2013 IEEE.}, note = {cited By 2}, keywords = {Autism Intervention, Autistic Children, Behavioral Assessment, Children with Autism, Communication, Diseases, Qualitative Analysis, Qualitative Method, Qualitative Observations, Robotics, Robots, Screening Instruments}, pubstate = {published}, tppubtype = {conference} } This paper presents a method to carry out qualitative analysis when evaluating the interaction between child and robot in autism intervention. The technique consists of 24-items of behavioral assessment which was referenced to the Gilliam Autism Rating Scale-Second Edition (GARS-2). GARS-2 is a screening instrument used to identify and diagnose autism. Preliminary results from a pilot study show that this method had allowed qualitative observation to be carried out to compare the behavior of autistic children with and without the presence of a robot. The feasibility of this technique will be further justified through future wide-spread studies involving a larger number of children spanning across the whole spectrum of autism. © 2013 IEEE. |
Kamaruzaman, M F; Rahman, S H A; Abdullah, K Z; Anwar, R 2013, ISBN: 9781467359689, (cited By 7). Abstract | Links | BibTeX | Tags: Academic Careers, Autistic Children, Calculations, Children with Autism, Conceptual Framework, Curricula, Diseases, Hypothesis Testing, Industrial Applications, Integrated Modeling, Motivation, Self Independence, Students, Theoretical Modeling @conference{Kamaruzaman2013174, title = {Conceptual framework study of basic counting skills based dynamic visual architecture towards autistic children's development}, author = {M F Kamaruzaman and S H A Rahman and K Z Abdullah and R Anwar}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883104147&doi=10.1109%2fBEIAC.2013.6560108&partnerID=40&md5=4ca69047980f1916b4fea0044cc637f0}, doi = {10.1109/BEIAC.2013.6560108}, isbn = {9781467359689}, year = {2013}, date = {2013-01-01}, journal = {BEIAC 2013 - 2013 IEEE Business Engineering and Industrial Applications Colloquium}, pages = {174-176}, abstract = {For individual with autism, the opportunity to achieve self-determination may be critical to enhance their quality of life. To achieve self-determination and independence, autism patience need to comprehend the learning basic skill system. Since calculation is used in everyday living, understanding the basic calculation skills is one way individual with autism can help achieve independence. The important of calculation especially mathematics in everyday living should not be overlooked for children's with autism. The opportunities to be paid and purchase goods are ways individuals with disabilities can achieve autonomy and independence. For students with autism, learning basic counting skills are important not only for their academic careers but also for their future independence. Our study plans to investigate the counting basic skills based dynamic visual for students with autism that will potentially assist educators, facilitators and curriculum developers to create appropriate instrument and instructional programs to meet students' academic needs. A theoretical model for basic counting skills for autism children's development is to be proposed from the outcome of this study. The next step will be to validate the integrated model proposed which will be conducted through a series of hypothesis testing which includes improved enthusiasm, augmented sense of worth and enhanced analytical. Perhaps more importantly, this research may help students acquire the essential skills they will need for future independence. © 2013 IEEE.}, note = {cited By 7}, keywords = {Academic Careers, Autistic Children, Calculations, Children with Autism, Conceptual Framework, Curricula, Diseases, Hypothesis Testing, Industrial Applications, Integrated Modeling, Motivation, Self Independence, Students, Theoretical Modeling}, pubstate = {published}, tppubtype = {conference} } For individual with autism, the opportunity to achieve self-determination may be critical to enhance their quality of life. To achieve self-determination and independence, autism patience need to comprehend the learning basic skill system. Since calculation is used in everyday living, understanding the basic calculation skills is one way individual with autism can help achieve independence. The important of calculation especially mathematics in everyday living should not be overlooked for children's with autism. The opportunities to be paid and purchase goods are ways individuals with disabilities can achieve autonomy and independence. For students with autism, learning basic counting skills are important not only for their academic careers but also for their future independence. Our study plans to investigate the counting basic skills based dynamic visual for students with autism that will potentially assist educators, facilitators and curriculum developers to create appropriate instrument and instructional programs to meet students' academic needs. A theoretical model for basic counting skills for autism children's development is to be proposed from the outcome of this study. The next step will be to validate the integrated model proposed which will be conducted through a series of hypothesis testing which includes improved enthusiasm, augmented sense of worth and enhanced analytical. Perhaps more importantly, this research may help students acquire the essential skills they will need for future independence. © 2013 IEEE. |
Mustafa, M; Arshad, H; Zaman, H B Framework methodology of the Autism children - Vibratory haptic interface (AC-VHI) Conference IEEE Computer Society, 2013, ISBN: 9781479927586, (cited By 1). Abstract | Links | BibTeX | Tags: Autistic Children, Children with Autism, Diseases, Haptic Interfaces, Malaysia, Malaysian, Mice, Mild Autism, Probability Sampling, Sample Collection, Social Interactions, Structured Observation @conference{Mustafa2013201, title = {Framework methodology of the Autism children - Vibratory haptic interface (AC-VHI)}, author = {M Mustafa and H Arshad and H B Zaman}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904211710&doi=10.1109%2fACSAT.2013.47&partnerID=40&md5=12c910cd01ef0874e09e8e51e2c00b3c}, doi = {10.1109/ACSAT.2013.47}, isbn = {9781479927586}, year = {2013}, date = {2013-01-01}, journal = {Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013}, pages = {201-206}, publisher = {IEEE Computer Society}, abstract = {This paper provides the Framework Methodology of the Autism Children -Vibratory Haptic Interface (AC-VHI) conducted on the mild autism children who have impairment in social interaction. This paper has exclusively explored problems faced by Malaysian autistic children in a National Autism Society at Kuala Lumpur, Malaysia. It also has been conducted at two locations: the classroom and the court of the National Autism Society in Malaysia (NASOM), Kuala Lumpur, Malaysia. The paper has sampled 20 children with mild autism, who have impairment in social interaction, based on the records of the National Autism Society of Malaysia. The sample collection method followed the purposive sampling approach, which is a form of non-probability sampling that allowed us to choose a case, because it illustrates some features or processes, in which we are interested. The framework included three main three process which are Process one, process Two and Process Three. This's three processes of the framework was suitable with the area of research and could to accomplish objectives of this research in helping the autism children to interact and communicate effectively with their families, friends and the broad community. The framework included three main three process which are Process one, process Two and Process Three. This's three processes of the framework was suitable with the area of research and could to accomplish objectives of this research in helping the autism children to interact and communicate effectively with their families, friends and the broad community. © 2013 IEEE.}, note = {cited By 1}, keywords = {Autistic Children, Children with Autism, Diseases, Haptic Interfaces, Malaysia, Malaysian, Mice, Mild Autism, Probability Sampling, Sample Collection, Social Interactions, Structured Observation}, pubstate = {published}, tppubtype = {conference} } This paper provides the Framework Methodology of the Autism Children -Vibratory Haptic Interface (AC-VHI) conducted on the mild autism children who have impairment in social interaction. This paper has exclusively explored problems faced by Malaysian autistic children in a National Autism Society at Kuala Lumpur, Malaysia. It also has been conducted at two locations: the classroom and the court of the National Autism Society in Malaysia (NASOM), Kuala Lumpur, Malaysia. The paper has sampled 20 children with mild autism, who have impairment in social interaction, based on the records of the National Autism Society of Malaysia. The sample collection method followed the purposive sampling approach, which is a form of non-probability sampling that allowed us to choose a case, because it illustrates some features or processes, in which we are interested. The framework included three main three process which are Process one, process Two and Process Three. This's three processes of the framework was suitable with the area of research and could to accomplish objectives of this research in helping the autism children to interact and communicate effectively with their families, friends and the broad community. The framework included three main three process which are Process one, process Two and Process Three. This's three processes of the framework was suitable with the area of research and could to accomplish objectives of this research in helping the autism children to interact and communicate effectively with their families, friends and the broad community. © 2013 IEEE. |
2012 |
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 |
Razali, N; Wahab, A 2D Affective Space Model (ASM) for detecting autistic children Conference 2011, ISBN: 9781612848433, (cited By 8). Abstract | Links | BibTeX | Tags: Autistic Children, Brain Disorders, Brain Imaging, Brain Imaging Techniques, Brain Signals, Children with Autism, Consumer Electronics, Data Collection, Diseases, Electroencephalogram, Electroencephalography, Feature Extraction, Frequency Domains, Functional Magnetic Resonance Imaging, Gaussian Mixture Model, Magnetic Resonance Imaging, Multi Layer Perceptron, Multilayer Perceptron, Multilayers, Positron Emission Tomography, Resonance, Space Models, Verification Results @conference{Razali2011536, title = {2D Affective Space Model (ASM) for detecting autistic children}, author = {N Razali and A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052392399&doi=10.1109%2fISCE.2011.5973888&partnerID=40&md5=f6ea401148e6558b861e4df6407e527e}, doi = {10.1109/ISCE.2011.5973888}, isbn = {9781612848433}, year = {2011}, date = {2011-01-01}, journal = {Proceedings of the International Symposium on Consumer Electronics, ISCE}, pages = {536-541}, abstract = {There are many research works have been done on autism cases using brain imaging techniques. In this paper, the Electroencephalogram (EEG) was used to understand and analyze the functionality of the brain to identify or detect brain disorder for autism in term of motor imitation. Thus, the portability and affordability of the EEG equipment makes it a better choice in comparison with other brain imaging device such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET) and megnetoencephalography (MEG). Data collection consists of both autistic and normal children with the total of 6 children for each group. All subjects were asked to clinch their hand by following video stimuli which presented in 1 minute time. Gaussian mixture model was used as a method of feature extraction for analyzing the brain signals in frequency domain. Then, the extraction data were classified using multilayer perceptron (MLP). According to the verification result, the percentage of discriminating between both groups is up to 85% in average by using k-fold validation. © 2011 IEEE.}, note = {cited By 8}, keywords = {Autistic Children, Brain Disorders, Brain Imaging, Brain Imaging Techniques, Brain Signals, Children with Autism, Consumer Electronics, Data Collection, Diseases, Electroencephalogram, Electroencephalography, Feature Extraction, Frequency Domains, Functional Magnetic Resonance Imaging, Gaussian Mixture Model, Magnetic Resonance Imaging, Multi Layer Perceptron, Multilayer Perceptron, Multilayers, Positron Emission Tomography, Resonance, Space Models, Verification Results}, pubstate = {published}, tppubtype = {conference} } There are many research works have been done on autism cases using brain imaging techniques. In this paper, the Electroencephalogram (EEG) was used to understand and analyze the functionality of the brain to identify or detect brain disorder for autism in term of motor imitation. Thus, the portability and affordability of the EEG equipment makes it a better choice in comparison with other brain imaging device such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET) and megnetoencephalography (MEG). Data collection consists of both autistic and normal children with the total of 6 children for each group. All subjects were asked to clinch their hand by following video stimuli which presented in 1 minute time. Gaussian mixture model was used as a method of feature extraction for analyzing the brain signals in frequency domain. Then, the extraction data were classified using multilayer perceptron (MLP). According to the verification result, the percentage of discriminating between both groups is up to 85% in average by using k-fold validation. © 2011 IEEE. |
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. |
Masuri, M G; Musa, N S; Isa, K A M The effects of animal assisted therapy in improving attention among autistic children Conference 2011, ISBN: 9781467300193, (cited By 0). Abstract | Links | BibTeX | Tags: Animals, Autism, Autistic Children, Behavioral Research, Children with Autism, Errors, Performance Tests, Sensory Integration, Student Performance, Students, Three Phasis @conference{Masuri2011813, title = {The effects of animal assisted therapy in improving attention among autistic children}, author = {M G Masuri and N S Musa and K A M Isa}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858995499&doi=10.1109%2fCHUSER.2011.6163849&partnerID=40&md5=1f29b24b9c2f78766401528f4e40a41d}, doi = {10.1109/CHUSER.2011.6163849}, isbn = {9781467300193}, year = {2011}, date = {2011-01-01}, journal = {2011 IEEE Colloquium on Humanities, Science and Engineering, CHUSER 2011}, pages = {813-818}, abstract = {Objective. This study examines the effect of Animal Assisted Therapy (AAT) towards improving attention among Autistic children. Method. A single case study using ABA design was used to measure duration of attention and errors omitted using Mesulam Continuous Performance Test (CPT) across three phases among 4 participants. Task Behavior/ Completion section in School Function Assessment (SFA) was given to teachers to rate student performance before and after intervention phase. Results. Results from this study showed that AAT did not improve attention and task behavior among 4 participants. However there is noted slight increase in attention among participants during the intervention phase. All participants also had slight decrease in attention during withdrawal phase. Decreases in numbers of errors omitted in CPM were noted in all participants during intervention phase. Conversely, all participants except participant 4 had increase in numbers of errors omitted during withdrawal phase. Result from Task behavior also showed no improvement. Conclusions. The findings from this study demonstrate that AAT did not improve attention and task behavior among Autistic children. However, the findings suggest that AAT can be one of treatment approach among Autistics children. Further study with longer timelines is needed to demonstrate a much better outcome as well as to ensure that the impact of the interventions really give an effect to the sample. © 2011 IEEE.}, note = {cited By 0}, keywords = {Animals, Autism, Autistic Children, Behavioral Research, Children with Autism, Errors, Performance Tests, Sensory Integration, Student Performance, Students, Three Phasis}, pubstate = {published}, tppubtype = {conference} } Objective. This study examines the effect of Animal Assisted Therapy (AAT) towards improving attention among Autistic children. Method. A single case study using ABA design was used to measure duration of attention and errors omitted using Mesulam Continuous Performance Test (CPT) across three phases among 4 participants. Task Behavior/ Completion section in School Function Assessment (SFA) was given to teachers to rate student performance before and after intervention phase. Results. Results from this study showed that AAT did not improve attention and task behavior among 4 participants. However there is noted slight increase in attention among participants during the intervention phase. All participants also had slight decrease in attention during withdrawal phase. Decreases in numbers of errors omitted in CPM were noted in all participants during intervention phase. Conversely, all participants except participant 4 had increase in numbers of errors omitted during withdrawal phase. Result from Task behavior also showed no improvement. Conclusions. The findings from this study demonstrate that AAT did not improve attention and task behavior among Autistic children. However, the findings suggest that AAT can be one of treatment approach among Autistics children. Further study with longer timelines is needed to demonstrate a much better outcome as well as to ensure that the impact of the interventions really give an effect to the sample. © 2011 IEEE. |
2010 |
Razali, N; Rahman, A W A Motor movement for autism spectrum disorder (ASD) detection Conference 2010, ISBN: 9789791948913, (cited By 3). Abstract | Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Autistic Children, Children with Autism, Data Collection, Diseases, Early Detection, Early Intervention, Finger Tapping, Gaussian Mixture Model, Information Technology, Motor Movements, Multi Layer Perceptron, Multilayer Perceptron (MLP), Multilayers @conference{Razali2010, title = {Motor movement for autism spectrum disorder (ASD) detection}, author = {N Razali and A W A Rahman}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052346152&doi=10.1109%2fICT4M.2010.5971921&partnerID=40&md5=234cdd8f3906ad980ed163a1036215ee}, doi = {10.1109/ICT4M.2010.5971921}, 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 = {E90-E95}, abstract = {In this paper, we are looking at the differences between autistic and normal children in term of fine motor movement. Previous findings have shown that there are differences between autistic children and normal children when performing a simple motor movement tasks. Imitating a finger tapping and clinching a hand are two examples of a simple motor movement tasks. Our study had adopted one of the video stimuli for clinching the hand from Brainmarkers. 6 selected autistic children and 6 selected normal children were involved in this study. The data collection is using EEG device and will be analyzed using Gaussian mixture model (GMM) and Multilayer perceptron (MLP) as classifier to discriminate between autistic and normal children. Experimental result shows the potential of verifying between autistic and normal children with accuracy of 92%. The potential of using these techniques to identify autistic children can help early detection for the purpose of early intervention. Moreover, the spectrums of the signals also present big differences between the two groups. © 2010 IEEE.}, note = {cited By 3}, keywords = {Autism, Autism Spectrum Disorders, Autistic Children, Children with Autism, Data Collection, Diseases, Early Detection, Early Intervention, Finger Tapping, Gaussian Mixture Model, Information Technology, Motor Movements, Multi Layer Perceptron, Multilayer Perceptron (MLP), Multilayers}, pubstate = {published}, tppubtype = {conference} } In this paper, we are looking at the differences between autistic and normal children in term of fine motor movement. Previous findings have shown that there are differences between autistic children and normal children when performing a simple motor movement tasks. Imitating a finger tapping and clinching a hand are two examples of a simple motor movement tasks. Our study had adopted one of the video stimuli for clinching the hand from Brainmarkers. 6 selected autistic children and 6 selected normal children were involved in this study. The data collection is using EEG device and will be analyzed using Gaussian mixture model (GMM) and Multilayer perceptron (MLP) as classifier to discriminate between autistic and normal children. Experimental result shows the potential of verifying between autistic and normal children with accuracy of 92%. The potential of using these techniques to identify autistic children can help early detection for the purpose of early intervention. Moreover, the spectrums of the signals also present big differences between the two groups. © 2010 IEEE. |
Othman, M; Wahab, A Understanding autistic children perception through EEG Conference 2010, ISBN: 9781617820267, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Autistic Children, Behavioral Research, Children with Autism, Computer Applications, Control Subject, Electroencephalography, Emotion, Emotional State, Empirical Studies, Facial Expression, Mel Frequency Cepstral Coefficients, Multilayer-Percheptron (MLP), Speech Recognition @conference{Othman2010315, title = {Understanding autistic children perception through EEG}, author = {M Othman and A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883660524&partnerID=40&md5=df9dac75053fbfa693b4823d5a0a77ad}, isbn = {9781617820267}, year = {2010}, date = {2010-01-01}, journal = {23rd International Conference on Computer Applications in Industry and Engineering 2010, CAINE 2010 - Including SNA 2010 Workshop}, pages = {315-320}, abstract = {Autistic children are known as having difficulties understanding human's facial expressions, making them incapable of interpreting the emotional states of others. This paper seeks to understand autistic children perception by analyzing brain signals using MFCC and MLP. An empirical study was conducted on 6 autistic and 6 typically developing children. Subjects' brainwaves were monitored while watching calm, happy and sad faces. Experimental results show that it is possible to discriminate the emotions of autistic children against control subjects with the accuracy of 76.61%. Brainwaves of autistic children also showed the trend of reversed emotions compared to normal children while watching happy and sad faces.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Autistic Children, Behavioral Research, Children with Autism, Computer Applications, Control Subject, Electroencephalography, Emotion, Emotional State, Empirical Studies, Facial Expression, Mel Frequency Cepstral Coefficients, Multilayer-Percheptron (MLP), Speech Recognition}, pubstate = {published}, tppubtype = {conference} } Autistic children are known as having difficulties understanding human's facial expressions, making them incapable of interpreting the emotional states of others. This paper seeks to understand autistic children perception by analyzing brain signals using MFCC and MLP. An empirical study was conducted on 6 autistic and 6 typically developing children. Subjects' brainwaves were monitored while watching calm, happy and sad faces. Experimental results show that it is possible to discriminate the emotions of autistic children against control subjects with the accuracy of 76.61%. Brainwaves of autistic children also showed the trend of reversed emotions compared to normal children while watching happy and sad faces. |
2009 |
Ismail, A; Omar, N; Zin, A M 1 , 2009, ISBN: 9781424449132, (cited By 12). Abstract | Links | BibTeX | Tags: Application Softwares, Autistic Children, Children with Autism, Communication Skills, Computer Software, Development Approach, Education, Educational Software, Electrical Engineering, End-users, Handicapped Persons, Learning, Learning Disorder, Personalizations, Software Design, Software Development, Software Development Methods @conference{Ismail2009299, title = {Developing learning software for children with learning disabilities through block-based development approach}, author = {A Ismail and N Omar and A M Zin}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449731050&doi=10.1109%2fICEEI.2009.5254772&partnerID=40&md5=20affae3e6e2e65aeb077b0827ec63f1}, doi = {10.1109/ICEEI.2009.5254772}, isbn = {9781424449132}, year = {2009}, date = {2009-01-01}, journal = {Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009}, volume = {1}, pages = {299-303}, abstract = {Children with learning disability such as autism who have serious impairments with social, emotional, and communication skills require a high degree of personalization in using the educational software develop for them. The aim of this paper is to propose Block-Based Software Development method and approach that enables the end-users (such as parents and teachers) to build application software to suit the different need of an autistic child. This research hopefully can produce useful tailorable learning software in order to assist educating autistic children. © 2009 IEEE.}, note = {cited By 12}, keywords = {Application Softwares, Autistic Children, Children with Autism, Communication Skills, Computer Software, Development Approach, Education, Educational Software, Electrical Engineering, End-users, Handicapped Persons, Learning, Learning Disorder, Personalizations, Software Design, Software Development, Software Development Methods}, pubstate = {published}, tppubtype = {conference} } Children with learning disability such as autism who have serious impairments with social, emotional, and communication skills require a high degree of personalization in using the educational software develop for them. The aim of this paper is to propose Block-Based Software Development method and approach that enables the end-users (such as parents and teachers) to build application software to suit the different need of an autistic child. This research hopefully can produce useful tailorable learning software in order to assist educating autistic children. © 2009 IEEE. |
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2020 |
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). |
Intelligent Autism Screening Using Fuzzy Agent Journal Article Lecture Notes in Electrical Engineering, 632 , pp. 495-503, 2020, ISSN: 18761100, (cited By 0). |
2019 |
Visual perception games for autistic learners: Design & development Conference Association for Computing Machinery, 2019, ISBN: 9781450366212, (cited By 0). |
Visual perception games for autistic learners: Research findings Conference Association for Computing Machinery, 2019, ISBN: 9781450366212, (cited By 0). |
2018 |
150 , EDP Sciences, 2018, ISSN: 2261236X, (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). |
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). |
Profile indicator for autistic children using EEG biosignal potential of sensory tasks Conference Institute of Electrical and Electronics Engineers Inc., 2018, ISBN: 9781538612774, (cited By 0). |
2017 |
A prototype development of visual perception diagnosis games for autism children Journal Article INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES, 4 (3), pp. 68-72, 2017, ISSN: 2313-626X. |
Linear Discriminant Analysis in Classifying Walking Gait of Autistic Children Conference Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781538614099, (cited By 0). |
User experience of autism social-aid among autistic children: AUTISM social aid application Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10645 LNCS , pp. 391-397, 2017, ISSN: 03029743, (cited By 0). |
2015 |
A content validated tool to observe autism behavior in child-robot interaction Conference 2015-November , Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781467367042, (cited By 1). |
A review on employee benefits for working parents with autistic children Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 1). |
Autism severity level detection using fuzzy expert system Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 2). |
Embedded visual schedule application towards autistic children development: A prelimenary study Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479945955, (cited By 5). |
Programming platform for NAO robot in cognitive interaction applications Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 2). |
2014 |
Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479966790, (cited By 1). |
Form design development study on autistic counting skill learning application Conference Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479945559, (cited By 10). |
2013 |
A Qualitative method to analyze response in robotic intervention for children with autism Conference 2013, ISBN: 9781479905072, (cited By 2). |
2013, ISBN: 9781467359689, (cited By 7). |
Framework methodology of the Autism children - Vibratory haptic interface (AC-VHI) Conference IEEE Computer Society, 2013, ISBN: 9781479927586, (cited By 1). |
2012 |
Initial response of autistic children in human-robot interaction therapy with humanoid robot NAO Conference 2012, ISBN: 9781467309615, (cited By 103). |
2011 |
2D Affective Space Model (ASM) for detecting autistic children Conference 2011, ISBN: 9781612848433, (cited By 8). |
Face detection technique of Humanoid Robot NAO for application in robotic assistive therapy Conference 2011, ISBN: 9781457716423, (cited By 14). |
The effects of animal assisted therapy in improving attention among autistic children Conference 2011, ISBN: 9781467300193, (cited By 0). |
2010 |
Motor movement for autism spectrum disorder (ASD) detection Conference 2010, ISBN: 9789791948913, (cited By 3). |
Understanding autistic children perception through EEG Conference 2010, ISBN: 9781617820267, (cited By 0). |
2009 |
1 , 2009, ISBN: 9781424449132, (cited By 12). |