List of Publications
There are numbers of autism related research can be found in Malaysia that generally focus on the ASD, learning disorder, communication aids, therapy and many more. The list of publications is provided below:
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2016 |
Abdullah, M H L; Wilson, C; Brereton, M MyCalendar: Supporting families to communicate with their child on the autism spectrum Conference Association for Computing Machinery, Inc, 2016, ISBN: 9781450346184, (cited By 4). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Behaviour, Children, Communication, Diseases, Human Computer Interaction, Interactive Computer Systems, iPad Applications, MyCalendar, Photo and Video, Socialisation @conference fusion-fusion-copyright-content 2, author = fusion-fusion-copyright-content 1, editor = fusion-fusion-copyright-content 0, url = fusion-row 9, doi = fusion-row 8, isbn = fusion-row 7, year = fusion-row 6, date = fusion-row 5, journal = fusion-row 4, pages = fusion-row 3, publisher = fusion-row 2, abstract = fusion-row 1, note = fusion-row 0, keywords = #footer 9, pubstate = #footer 8, tppubtype = #footer 7 } This paper presents a study in which a mobile application, 'MyCalendar', was trialled with children on the autism spectrum and their families. In previous work, we described how the MyCalendar app supported communication across both home and school settings through photos and videos of the child's activities, presented in the format of a visual calendar. These visuals supported the child to communicate and socialise and to recall activities and helped adults to better understand the child holistically. This note augments previous work on MyCalendar by focusing on interactions at home within the family. Findings revealed that routine review of activities documented in MyCalendar enabled children to participate more in family conversations, extended their time spent interacting socially, and reinforced social relationships. This gave the children on the autism spectrum greater opportunity to share and communicate within the family as well as to share their interactions at school with family members. Copyright © 2016 ACM. |
Nor, M N M; Jailani, R; Tahir, N M Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781509015436, (cited By 4). Abstract | Links | BibTeX | Tags: ASD Children, Autism Spectrum Disorders, Diseases, Electromyography, Gases, Gastrocnemius, Human Motions, Industrial Electronics, Muscle, Tibialis Anterior, Typical Development, Walking Gait, Walking Pattern @conference #footer 6, author = #footer 5, url = #footer 4, doi = #footer 3, isbn = #footer 2, year = #footer 1, date = #footer 0, journal = fusion-footer 9, pages = fusion-footer 8, publisher = fusion-footer 7, abstract = fusion-footer 6, note = fusion-footer 5, keywords = fusion-footer 4, pubstate = fusion-footer 3, tppubtype = fusion-footer 2 } This paper presents an analysis of Electromyography (EMG) signals of lower limb muscles during walking among children. Total of 18 children consists of 8 Autism Spectrum Disorder (ASD) children and 10 Typical Development (TD) children aged between 6 to 13 years old were participated in this study. The muscles of Tibialis Anterior (TA) and Gastrocnemius (GAS) were examined and the EMG signals data were obtained using Trigno Wireless EMG System at Human Motion and Analysis Laboratory, UiTM Shah Alam. The EMG signals patterns for TA and GAS muscles will be explained and the independent t-Test will be analyzed to investigate the differences of walking gait in ASD children and TD children. The result shows that there is significant differences at Gastrocnemius (GAS) muscle between ASD and TD children during midstance where p value is equal to 0.042. From this study, the EMG signal for GAS muscle play an important role in differentiate between ASD and TD children. © 2016 IEEE. |
Hussain, A; Abdullah, A; Husni, H; Mkpojiogu, E O C Interaction design principles for edutainment systems: Enhancing the communication skills of children with autism spectrum disorders Journal Article Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia, 39 (8), pp. 45-50, 2016, ISSN: 02540770, (cited By 24). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Children, Communication Skills, Diseases, Education, Edutainment, Interaction Design, Spectrum Analysis, User Interfaces @article fusion-footer 1, author = fusion-footer 0, url = wrapper 9, doi = wrapper 8, issn = wrapper 7, year = wrapper 6, date = wrapper 5, journal = wrapper 4, volume = wrapper 3, number = wrapper 2, pages = wrapper 1, publisher = wrapper 0, abstract = #boxed-wrapper 9, note = #boxed-wrapper 8, keywords = #boxed-wrapper 7, pubstate = #boxed-wrapper 6, tppubtype = #boxed-wrapper 5 } Owing to deterioration in communication, approximately 50% of individuals diagnosed with Autism face challenges in developing functional languages. To assist these individuals become more relaxed and comfortable during these activities, installed educational games on mobile devices can be used. Although there are many new mobile applications available for individuals with Autism, they are difficult to use; particularly in terms of user-interface design. An analysis of existing apps developed for children with autism shows that app design principles are projected according to interaction design (IxD) which fulfills the users? requirements in a more efficient way. The analysis involved five applications and pointed out fifteen suggestions regarding the design principles. This paper presents the suggested recommendations for the design and development of prototype apps for autistic children. It introduces edutainment systems design principles, which are designed to assist in the development of communication skills in children diagnosed with Autism-spectrum disorders. |
Rusli, N; Yusof, H M; Sidek, S N; Latif, M H Hottest pixel segmentation based thermal image analysis for children Conference Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781467377911, (cited By 0). Abstract | Links | BibTeX | Tags: Affective State, Autism Spectrum Disorders, Biomedical Engineering, Diseases, Feature Extraction, First-Order Statistics, Forehead Region, Gray Level Intensity, Image Analysis, Image Segmentation, Pixels, Segmentation Techniques, Thermal Image Analysis, Thermal Images @conference #boxed-wrapper 4, author = #boxed-wrapper 3, url = #boxed-wrapper 2, doi = #boxed-wrapper 1, isbn = #boxed-wrapper 0, year = Instagram Feed JS 9, date = Instagram Feed JS 8, journal = Instagram Feed JS 7, pages = Instagram Feed JS 6, publisher = Instagram Feed JS 5, abstract = Instagram Feed JS 4, note = Instagram Feed JS 3, keywords = Instagram Feed JS 2, pubstate = Instagram Feed JS 1, tppubtype = Instagram Feed JS 0 } In this paper, the first order statistics for gray level intensity defined from thermal image is implemented to govern the significant and distinguishable characteristic pattern in thermal image of affective states. The impact of thresholding mechanism is studied to differentiate between positive affective states (happy) and negative affective states (sad) analysis in response to the stimuli adopted from International Affective Pictures System (IAPS) database. The hottest pixel segmentation technique is applied where it identifies the threshold level in a way to classify the hottest pixel area. The region of interest is narrowed to a forehead region with result of separation analysis made to left and right area. Two experiments have been conducted by using different set of stimuli and the results depicts of asymmetry and differed in culmination pattern for these two affective states. This conclusive result from this study suggests that this feature can be used as one of the important feature to give information of affective states on individuals with autism spectrum disorder (ASD) with least of facial expressions and perhaps would-be use in non-verbal means. © 2016 IEEE. |
Sheppard, E; Pillai, D; Wong, G T -L; Ropar, D; Mitchell, P How Easy is it to Read the Minds of People with Autism Spectrum Disorder? Journal Article Journal of Autism and Developmental Disorders, 46 (4), pp. 1247-1254, 2016, ISSN: 01623257, (cited By 37). Abstract | Links | BibTeX | Tags: Adolescent, Adult, Article, Autism, Autism Spectrum Disorders, Decision Making, Emotion, Facial Expression, Female, Human, Male, Mental Health, Nonverbal Communication, Pathophysiology, Priority Journal, Psychology, Video Recording, Young Adult @article{Sheppard20161247, title = {How Easy is it to Read the Minds of People with Autism Spectrum Disorder?}, author = {E Sheppard and D Pillai and G T -L Wong and D Ropar and P Mitchell}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961215349&doi=10.1007%2fs10803-015-2662-8&partnerID=40&md5=d39b6bdebe3c2f33e304eb4d4c09b6fd}, doi = {10.1007/s10803-015-2662-8}, issn = {01623257}, year = {2016}, date = {2016-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {46}, number = {4}, pages = {1247-1254}, publisher = {Springer New York LLC}, abstract = {How well can neurotypical adults’ interpret mental states in people with ASD? ‘Targets’ (ASD and neurotypical) reactions to four events were video-recorded then shown to neurotypical participants whose task was to identify which event the target had experienced. In study 1 participants were more successful for neurotypical than ASD targets. In study 2, participants rated ASD targets equally expressive as neurotypical targets for three of the events, while in study 3 participants gave different verbal descriptions of the reactions of ASD and neurotypical targets. It thus seems people with ASD react differently but not less expressively to events. Because neurotypicals are ineffective in interpreting the behaviour of those with ASD, this could contribute to the social difficulties in ASD. © 2015, Springer Science+Business Media New York.}, note = {cited By 37}, keywords = {Adolescent, Adult, Article, Autism, Autism Spectrum Disorders, Decision Making, Emotion, Facial Expression, Female, Human, Male, Mental Health, Nonverbal Communication, Pathophysiology, Priority Journal, Psychology, Video Recording, Young Adult}, pubstate = {published}, tppubtype = {article} } How well can neurotypical adults’ interpret mental states in people with ASD? ‘Targets’ (ASD and neurotypical) reactions to four events were video-recorded then shown to neurotypical participants whose task was to identify which event the target had experienced. In study 1 participants were more successful for neurotypical than ASD targets. In study 2, participants rated ASD targets equally expressive as neurotypical targets for three of the events, while in study 3 participants gave different verbal descriptions of the reactions of ASD and neurotypical targets. It thus seems people with ASD react differently but not less expressively to events. Because neurotypicals are ineffective in interpreting the behaviour of those with ASD, this could contribute to the social difficulties in ASD. © 2015, Springer Science+Business Media New York. |
2015 |
NAC, National Standards Project Journal Article Findings and Conclusions: National Standards Project, pp. 1-92, 2015, ISBN: 8773133833. Abstract | Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, disorder, guidelines, National, Project, Spectrum, Standards @article{NAC2015b, title = {National Standards Project}, author = {NAC}, editor = {Juanita Class and Patricia Ladew B.S. and Eileen G. Pollack M.A.}, url = {https://narc.uitm.edu.my/wp-content/uploads/2021/01/NSP2.pdf}, isbn = {8773133833}, year = {2015}, date = {2015-04-01}, journal = {Findings and Conclusions: National Standards Project}, pages = {1-92}, abstract = {We have endeavored to build consensus among experts from diverse fields of study and theoretical orientation. We collaboratively determined the strategies used to evaluate the literature on the treatment of Autism Spectrum Disorders. In addition, we jointly determined the intended use of this document. We used a systematic process to provide all of our experts multiple opportunities to provide feedback on both the process and the document. Given the diversity of perspectives held by our experts, the information contained in this report does not necessarily reflect the unique views of each of its contributors on every point. We are pleased with the spirit of collaboration these experts brought to this process.}, keywords = {Autism, Autism Spectrum Disorders, disorder, guidelines, National, Project, Spectrum, Standards}, pubstate = {published}, tppubtype = {article} } We have endeavored to build consensus among experts from diverse fields of study and theoretical orientation. We collaboratively determined the strategies used to evaluate the literature on the treatment of Autism Spectrum Disorders. In addition, we jointly determined the intended use of this document. We used a systematic process to provide all of our experts multiple opportunities to provide feedback on both the process and the document. Given the diversity of perspectives held by our experts, the information contained in this report does not necessarily reflect the unique views of each of its contributors on every point. We are pleased with the spirit of collaboration these experts brought to this process. |
Abdullah, M H L; Brereton, M Association for Computing Machinery, Inc, 2015, ISBN: 9781450336734, (cited By 10). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Children, Children with Autism, Communication, Diseases, Education, Human Computer Interaction, iPad Applications, Learning, MyCalendar, Participatory Design, Special Education, Teaching, Visual Languages @conference{Abdullah20151, title = {MyCalendar: Fostering communication for children with autism spectrum disorder through photos and videos}, author = {M H L Abdullah and M Brereton}, editor = {Smith Vetere Ploderer W F B Carter M. Gibbs M.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963544904&doi=10.1145%2f2838739.2838785&partnerID=40&md5=1d0388dc4eb2a559796a0c8cf61f0e31}, doi = {10.1145/2838739.2838785}, isbn = {9781450336734}, year = {2015}, date = {2015-01-01}, journal = {OzCHI 2015: Being Human - Conference Proceedings}, pages = {1-9}, publisher = {Association for Computing Machinery, Inc}, abstract = {This paper presents MyCalendar; a visual calendar prototype App that was developed to support children with Autism Spectrum Disorder and language delays to communicate about their own activities and interests across the settings of home and school. MyCalendar was developed following in-depth fieldwork and participatory design sessions with parents, teachers and children from Preparatory year to year 2 of an Australian Primary School Special Education Unit catering largely for children with Autism Spectrum Disorder (ASD). Typically, children with ASD face difficulties in participating at school. MyCalendar was then evaluated over six months with four teachers, ten parents and eleven children. The study resulted in two key findings: (1) MyCalendar supported children who have ASD and limited verbal skills to better communicate their daily personal activities through photos and videos, encouraged by teachers and parents. (2) This deeper understanding of the children's daily lives enabled teachers to successfully model positive behaviours and to scaffold more relevant and meaningful learning opportunities by relating them to the children's lives. While it was initially expected that the activities would better support communication between teachers and parents, the MyCalendar led in fact to novel scaffolding of learning opportunities and modeling of communication in the classroom. Copyright © 2015 ACM.}, note = {cited By 10}, keywords = {Autism Spectrum Disorders, Children, Children with Autism, Communication, Diseases, Education, Human Computer Interaction, iPad Applications, Learning, MyCalendar, Participatory Design, Special Education, Teaching, Visual Languages}, pubstate = {published}, tppubtype = {conference} } This paper presents MyCalendar; a visual calendar prototype App that was developed to support children with Autism Spectrum Disorder and language delays to communicate about their own activities and interests across the settings of home and school. MyCalendar was developed following in-depth fieldwork and participatory design sessions with parents, teachers and children from Preparatory year to year 2 of an Australian Primary School Special Education Unit catering largely for children with Autism Spectrum Disorder (ASD). Typically, children with ASD face difficulties in participating at school. MyCalendar was then evaluated over six months with four teachers, ten parents and eleven children. The study resulted in two key findings: (1) MyCalendar supported children who have ASD and limited verbal skills to better communicate their daily personal activities through photos and videos, encouraged by teachers and parents. (2) This deeper understanding of the children's daily lives enabled teachers to successfully model positive behaviours and to scaffold more relevant and meaningful learning opportunities by relating them to the children's lives. While it was initially expected that the activities would better support communication between teachers and parents, the MyCalendar led in fact to novel scaffolding of learning opportunities and modeling of communication in the classroom. Copyright © 2015 ACM. |
Bakar, M A A; Ismail, Z; Fikry, A; Musa, R; Hassan, H; Ahmad, S S; Samat, N; Hashim, R Review on training policy for teachers and parents in using humanoid for children with autism Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 1). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism, Autism Spectrum Disorders, Central Nervous System Stimulants, Children with Autism, Developmental Disorders, Diseases, Education, Humanoid Robot, Manufacture, Parents, Personnel Training, Prevalence Rates, Robotics, Teacher, Teaching @conference{Bakar2015180, title = {Review on training policy for teachers and parents in using humanoid for children with autism}, author = {M A A Bakar and Z Ismail and A Fikry and R Musa and H Hassan and S S Ahmad and N Samat and R Hashim}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959501336&doi=10.1109%2fROMA.2014.7295884&partnerID=40&md5=8bce6d13363f0e49a90109feee8598fb}, doi = {10.1109/ROMA.2014.7295884}, isbn = {9781479957651}, year = {2015}, date = {2015-01-01}, journal = {2014 IEEE International Symposium on Robotics and Manufacturing Automation, IEEE-ROMA2014}, pages = {180-184}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Autism spectrum disorder is a life-long development disorder distinguish by impairment related to central nervous system maturation with features include delay in social life development, problem in language, social skills and repetitive behavior. Autism is a global crisis due to prevalence rates higher in several countries and the need for treatment view to be important. This paper reviews on the training policy for teachers and parents in using humanoid for children with autism. In Malaysia, there is no proper and specific training policy for children with autism through implementation of humanoid. © 2014 IEEE.}, note = {cited By 1}, keywords = {Anthropomorphic Robots, Autism, Autism Spectrum Disorders, Central Nervous System Stimulants, Children with Autism, Developmental Disorders, Diseases, Education, Humanoid Robot, Manufacture, Parents, Personnel Training, Prevalence Rates, Robotics, Teacher, Teaching}, pubstate = {published}, tppubtype = {conference} } Autism spectrum disorder is a life-long development disorder distinguish by impairment related to central nervous system maturation with features include delay in social life development, problem in language, social skills and repetitive behavior. Autism is a global crisis due to prevalence rates higher in several countries and the need for treatment view to be important. This paper reviews on the training policy for teachers and parents in using humanoid for children with autism. In Malaysia, there is no proper and specific training policy for children with autism through implementation of humanoid. © 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. |
Mandasari, V; Theng, L B Enhancing the acquisition of social skills through the interactivity of multimedia Book IGI Global, 2015, ISBN: 9781466686151; 1466686146; 9781466686144, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Brain Abnormalities, Developmental Disorders, Education, Effective Tool, Interactivity, Pedagogical Tools, Social Behaviour, Social Skills, Teaching @book{Mandasari20151430, title = {Enhancing the acquisition of social skills through the interactivity of multimedia}, author = {V Mandasari and L B Theng}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958609292&doi=10.4018%2f978-1-4666-8614-4.ch065&partnerID=40&md5=85be5b68f81521c510657862d202e50c}, doi = {10.4018/978-1-4666-8614-4.ch065}, isbn = {9781466686151; 1466686146; 9781466686144}, year = {2015}, date = {2015-01-01}, journal = {Social Media and Networking: Concepts, Methodologies, Tools, and Applications}, volume = {3-4}, pages = {1430-1462}, publisher = {IGI Global}, abstract = {Autism Spectrum Disorders (ASD) are a group of neuro-developmental disorders caused by brain abnormalities which result in impaired social story. Research on treatment in helping children with ASD to improve social story is growing as the cases of children diagnosed with ASD are on the rise. Social story is one of the proven methods of treatment in helping children with ASD to acquire social story through scenarios written in the form of stories. However, the current approaches to present the social story lack interactivity, consuming more intensive efforts to acquire the social story. Learning is most effectual when motivated; thus, the purpose of this study is to discover a learning tool that children with ASD will be motivated to learn independently, and it is achievable by combining elements that they are interested in. This research utilizes the interactivity of multimedia as a medium to present an interactive pedagogical tool for children with ASD to acquire social story. This combination is anticipated to be an effective tool in teaching social story to children with ASD, as they are naturally drawn to computers and visual cues, combined with the fact that Social Story™ has been effective in changing the social behavior of children with ASD. Thus, this study has contributed to the emergent research of treatment for children with ASD in social story acquisition. The result of this study is important as it presents a novel assistance that can be used effectively in assisting children with ASD to improve their main deficit, social story. © 2016, IGI Global. All rights reserved.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Brain Abnormalities, Developmental Disorders, Education, Effective Tool, Interactivity, Pedagogical Tools, Social Behaviour, Social Skills, Teaching}, pubstate = {published}, tppubtype = {book} } Autism Spectrum Disorders (ASD) are a group of neuro-developmental disorders caused by brain abnormalities which result in impaired social story. Research on treatment in helping children with ASD to improve social story is growing as the cases of children diagnosed with ASD are on the rise. Social story is one of the proven methods of treatment in helping children with ASD to acquire social story through scenarios written in the form of stories. However, the current approaches to present the social story lack interactivity, consuming more intensive efforts to acquire the social story. Learning is most effectual when motivated; thus, the purpose of this study is to discover a learning tool that children with ASD will be motivated to learn independently, and it is achievable by combining elements that they are interested in. This research utilizes the interactivity of multimedia as a medium to present an interactive pedagogical tool for children with ASD to acquire social story. This combination is anticipated to be an effective tool in teaching social story to children with ASD, as they are naturally drawn to computers and visual cues, combined with the fact that Social Story™ has been effective in changing the social behavior of children with ASD. Thus, this study has contributed to the emergent research of treatment for children with ASD in social story acquisition. The result of this study is important as it presents a novel assistance that can be used effectively in assisting children with ASD to improve their main deficit, social story. © 2016, IGI Global. All rights reserved. |
Shamsuddin, S; Yussof, H; Mohamed, S; Hanapiah, F A; Ainudin, H A Telerehabilitation Service with a Robot for Autism Intervention Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 11). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Intervention, Autism Spectrum Disorders, Children with Autism, Diseases, Graphical User Interfaces, Humanoid Robot, Intelligent Control, Rehabilitation Robotics, Rehabilitation Services, Robotics, Robots, Smart Sensors, Telerehabilitation, User Interfaces, Web-Based @conference{Shamsuddin2015349, title = {Telerehabilitation Service with a Robot for Autism Intervention}, author = {S Shamsuddin and H Yussof and S Mohamed and F A Hanapiah and H A Ainudin}, editor = {Miskon M F Yussof H.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962815885&doi=10.1016%2fj.procs.2015.12.306&partnerID=40&md5=4a12a2e573a30ee0d1e87c85bee226d7}, doi = {10.1016/j.procs.2015.12.306}, issn = {18770509}, year = {2015}, date = {2015-01-01}, journal = {Procedia Computer Science}, volume = {76}, pages = {349-354}, publisher = {Elsevier B.V.}, abstract = {Though studies on robot-mediated intervention for children with autism have gained momentum in recent years, not much work has been done to help therapists to have on-line access to robot programs. Telerehabilitation is an efficient solution to overcome barriers of access, remote locations, lack of autism therapists and cost in the delivery of rehabilitation services. In this study, a telerehabilitation system is developed to help therapists to concentrate fully on the intervention and not in robot programming. Robot scenarios are created based on consultation with clinicians and therapists and are available in the system via a website, with user-friendly graphical user interface (GUI). A survey with 15 therapists was carried out to get feedback on the system's usability. 80% of therapists agree that their overall first-time experience in using the telerehabilitation website was good.}, note = {cited By 11}, keywords = {Anthropomorphic Robots, Autism Intervention, Autism Spectrum Disorders, Children with Autism, Diseases, Graphical User Interfaces, Humanoid Robot, Intelligent Control, Rehabilitation Robotics, Rehabilitation Services, Robotics, Robots, Smart Sensors, Telerehabilitation, User Interfaces, Web-Based}, pubstate = {published}, tppubtype = {conference} } Though studies on robot-mediated intervention for children with autism have gained momentum in recent years, not much work has been done to help therapists to have on-line access to robot programs. Telerehabilitation is an efficient solution to overcome barriers of access, remote locations, lack of autism therapists and cost in the delivery of rehabilitation services. In this study, a telerehabilitation system is developed to help therapists to concentrate fully on the intervention and not in robot programming. Robot scenarios are created based on consultation with clinicians and therapists and are available in the system via a website, with user-friendly graphical user interface (GUI). A survey with 15 therapists was carried out to get feedback on the system's usability. 80% of therapists agree that their overall first-time experience in using the telerehabilitation website was good. |
Shamsuddin, S; Yussof, H; Hanapiah, F A; Mohamed, S; Jamil, N F F; Yunus, F W Robot-Assisted learning for communication-care in autism intervention Conference 2015-September , IEEE Computer Society, 2015, ISSN: 19457898, (cited By 5). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Spectrum Disorders, Children with Autism, Communication Skills, Computer Aided Instruction, Diseases, Education, Educational Settings, Human Robot Interaction, Humanoid Robot, Learning, Robotics, Robots, Specific Interaction, Teaching @conference{Shamsuddin2015822, title = {Robot-Assisted learning for communication-care in autism intervention}, author = {S Shamsuddin and H Yussof and F A Hanapiah and S Mohamed and N F F Jamil and F W Yunus}, editor = {Campolo D Braun D. Yu H.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946072425&doi=10.1109%2fICORR.2015.7281304&partnerID=40&md5=3048519732d8127b2307d17a12e46463}, doi = {10.1109/ICORR.2015.7281304}, issn = {19457898}, year = {2015}, date = {2015-01-01}, journal = {IEEE International Conference on Rehabilitation Robotics}, volume = {2015-September}, pages = {822-827}, publisher = {IEEE Computer Society}, abstract = {Robot-based intervention for children with autism is an evolving research niche in human-robot interaction (HRI). Recent studies have covered the role of robots in clinical and experimental setting but not much on integrating them in educational setting. Our previous work had shown that interaction with a robot poses no adverse effects and that the robot's specific interaction scenarios were associated with less autistic behavior. Extending this impact on school-going children, interactions that are in-Tune with special education lessons are needed. This study aims to propose the integration of a robot into current learning environment for children with special needs, specifically autism. Six interaction scenarios had been designed based on the existing syllabus to teach communication skills, using the Applied Behavior Analysis (ABA) technique as the framework. Development of the robotic experience for learning also covers the required set-up involving participation from teachers. The actual research conduct involving school children, teachers and robot shall take place in the next phase. © 2015 IEEE.}, note = {cited By 5}, keywords = {Anthropomorphic Robots, Autism Spectrum Disorders, Children with Autism, Communication Skills, Computer Aided Instruction, Diseases, Education, Educational Settings, Human Robot Interaction, Humanoid Robot, Learning, Robotics, Robots, Specific Interaction, Teaching}, pubstate = {published}, tppubtype = {conference} } Robot-based intervention for children with autism is an evolving research niche in human-robot interaction (HRI). Recent studies have covered the role of robots in clinical and experimental setting but not much on integrating them in educational setting. Our previous work had shown that interaction with a robot poses no adverse effects and that the robot's specific interaction scenarios were associated with less autistic behavior. Extending this impact on school-going children, interactions that are in-Tune with special education lessons are needed. This study aims to propose the integration of a robot into current learning environment for children with special needs, specifically autism. Six interaction scenarios had been designed based on the existing syllabus to teach communication skills, using the Applied Behavior Analysis (ABA) technique as the framework. Development of the robotic experience for learning also covers the required set-up involving participation from teachers. The actual research conduct involving school children, teachers and robot shall take place in the next phase. © 2015 IEEE. |
Perhakaran, G; Yusof, A M; Rusli, M E; Yusoff, M Z M; Mahidin, E M M; Mahalil, I; Zainuddin, A R R SnoezelenCAVE: Virtual reality CAVE Snoezelen framework for Autism spectrum disorders Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9429 , pp. 443-453, 2015, ISSN: 03029743, (cited By 6). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Caves, Diseases, Hand Motion, Immersive Virtual Reality, Information Science, Interaction Methods, Multi-Sensory, Snoezelen, Virtual Reality, Visual Learning, Voice Recognition Systems @article{Perhakaran2015443, title = {SnoezelenCAVE: Virtual reality CAVE Snoezelen framework for Autism spectrum disorders}, author = {G Perhakaran and A M Yusof and M E Rusli and M Z M Yusoff and E M M Mahidin and I Mahalil and A R R Zainuddin}, editor = {Zaman Jaafar Ali Robinson Shih Velastin Velastin Smeaton Zaman Jaafar Ali Robinson H B A N M P T K S S A F H B A N M P Smeaton A.F. Shih T.K.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84950115637&doi=10.1007%2f978-3-319-25939-0_39&partnerID=40&md5=23b64839de074c47ecfc4836f8168f1b}, doi = {10.1007/978-3-319-25939-0_39}, issn = {03029743}, year = {2015}, date = {2015-01-01}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {9429}, pages = {443-453}, publisher = {Springer Verlag}, abstract = {Autism Spectrum Disorder has become broadly recognized around the world, and Snoezelen (i.e. multi-sensory room) is one of the methods that provides therapy for Autism Spectrum Disorder. This paper presents a system proposal of a new technique called “SnoezelenCAVE” that relies on immersive virtual reality technology. In this “SnoezelenCAVE”, a Multi-sensory environment will be developed in a CAVE setup. It includes an integration of hand motion device and voice recognition system. This proposed designs will focus on virtual environments stimulating visual learning, auditory techniques and natural free hand interaction method in relaxing virtual environments. © Springer International Publishing Switzerland 2015.}, note = {cited By 6}, keywords = {Autism Spectrum Disorders, Caves, Diseases, Hand Motion, Immersive Virtual Reality, Information Science, Interaction Methods, Multi-Sensory, Snoezelen, Virtual Reality, Visual Learning, Voice Recognition Systems}, pubstate = {published}, tppubtype = {article} } Autism Spectrum Disorder has become broadly recognized around the world, and Snoezelen (i.e. multi-sensory room) is one of the methods that provides therapy for Autism Spectrum Disorder. This paper presents a system proposal of a new technique called “SnoezelenCAVE” that relies on immersive virtual reality technology. In this “SnoezelenCAVE”, a Multi-sensory environment will be developed in a CAVE setup. It includes an integration of hand motion device and voice recognition system. This proposed designs will focus on virtual environments stimulating visual learning, auditory techniques and natural free hand interaction method in relaxing virtual environments. © Springer International Publishing Switzerland 2015. |
Jamil, N; Khir, N H M; Ismail, M; Razak, F H A Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 4). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Children with Autism, Data Acquisition, Diseases, Emotion, Emotion Detection, Emotion Recognition, Emotional State, Facial Expression, Gait Analysis, Intelligent Control, Nonverbal Communication, Pattern Recognition, Robotics, Smart Sensors, Social Communications, Speech Recognition @conference{Jamil2015342, title = {Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation}, author = {N Jamil and N H M Khir and M Ismail and F H A Razak}, editor = {Miskon M F Yussof H.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962833568&doi=10.1016%2fj.procs.2015.12.305&partnerID=40&md5=6893678f1ed83b87147ff9183b94428b}, doi = {10.1016/j.procs.2015.12.305}, issn = {18770509}, year = {2015}, date = {2015-01-01}, journal = {Procedia Computer Science}, volume = {76}, pages = {342-348}, publisher = {Elsevier B.V.}, abstract = {With the disturbing increase of children with Autism Spectrum Disorder (ASD) in Malaysia, a lot of efforts and studies are put forward towards understanding and managing matters related to ASD. One way is to find means of easing the social communications among these children and their caretakers, particularly during intervention. If the caretaker is able to comprehend the children emotional state of mind prior to therapy, some sort of trust and attachment will be developed. However, regulating emotions is a challenge to these children. Nonverbal communication such as facial expression is difficult for ASD children. Therefore, we proposed the use of walking patterns (i.e. gait) to detect the type of emotions of ASD children. Even though using gait for emotion recognition is common among normal individuals, none can be found done on children with ASD. Thus, the aim of this paper is to conduct a preliminary review on the possibilities of carrying out gait-based emotion detection among ASD children with regards to the emotional types, gait parameters and methods of gait data acquisition. © 2015 The Authors.}, note = {cited By 4}, keywords = {Autism Spectrum Disorders, Children with Autism, Data Acquisition, Diseases, Emotion, Emotion Detection, Emotion Recognition, Emotional State, Facial Expression, Gait Analysis, Intelligent Control, Nonverbal Communication, Pattern Recognition, Robotics, Smart Sensors, Social Communications, Speech Recognition}, pubstate = {published}, tppubtype = {conference} } With the disturbing increase of children with Autism Spectrum Disorder (ASD) in Malaysia, a lot of efforts and studies are put forward towards understanding and managing matters related to ASD. One way is to find means of easing the social communications among these children and their caretakers, particularly during intervention. If the caretaker is able to comprehend the children emotional state of mind prior to therapy, some sort of trust and attachment will be developed. However, regulating emotions is a challenge to these children. Nonverbal communication such as facial expression is difficult for ASD children. Therefore, we proposed the use of walking patterns (i.e. gait) to detect the type of emotions of ASD children. Even though using gait for emotion recognition is common among normal individuals, none can be found done on children with ASD. Thus, the aim of this paper is to conduct a preliminary review on the possibilities of carrying out gait-based emotion detection among ASD children with regards to the emotional types, gait parameters and methods of gait data acquisition. © 2015 The Authors. |
Aziz, A A; Moganan, F F M; Ismail, A; Lokman, A M Autistic Children's Kansei Responses Towards Humanoid-Robot as Teaching Mediator Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 6). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Spectrum Disorders, Children with Autism, Diseases, Education, Emotion, Emotion Extractions, Humanoid Robot, Humanoid Robot NAO, Intelligent Control, Interaction Modules, Kansei Engineering, Robotics, Robots, Smart Sensors, Social Communications @conference{Aziz2015488, title = {Autistic Children's Kansei Responses Towards Humanoid-Robot as Teaching Mediator}, author = {A A Aziz and F F M Moganan and A Ismail and A M Lokman}, editor = {Miskon M F Yussof H.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962865419&doi=10.1016%2fj.procs.2015.12.322&partnerID=40&md5=2406a6eb6d803f72684751a8aab37868}, doi = {10.1016/j.procs.2015.12.322}, issn = {18770509}, year = {2015}, date = {2015-01-01}, journal = {Procedia Computer Science}, volume = {76}, pages = {488-493}, publisher = {Elsevier B.V.}, abstract = {Autism is often being associated with the deficits in social communication, interaction as well as imagination. Autistic patients may experience the impairment in social interaction usually being related to their inability to interpret others' emotion and even to express their own feelings. As a result, children with autism are often been labeled as lacking the ability to express their emotion. The main objective of this paper is to present a pilot study in studying the autistic children's' emotions and feelings upon being triggered by the humanoid-robot, NAO. Kansei Engineering, which is a powerful emotion extraction mechanism is adopted in the study to assess the children's' emotion. The experiment involved two autistic children and one normal child who were given four interaction modules in separate intervention session. The experiment conducted is to observe how robot triggers the emotion of these children. The result shows that different types of modules which would trigger different emotional reactions. This result provides a basis for further investigation of the assessment of autistic children's feeling and emotion. The result will ultimately contribute to finding best possible therapy for autistic children towards the used of humanoid-robot.}, note = {cited By 6}, keywords = {Anthropomorphic Robots, Autism Spectrum Disorders, Children with Autism, Diseases, Education, Emotion, Emotion Extractions, Humanoid Robot, Humanoid Robot NAO, Intelligent Control, Interaction Modules, Kansei Engineering, Robotics, Robots, Smart Sensors, Social Communications}, pubstate = {published}, tppubtype = {conference} } Autism is often being associated with the deficits in social communication, interaction as well as imagination. Autistic patients may experience the impairment in social interaction usually being related to their inability to interpret others' emotion and even to express their own feelings. As a result, children with autism are often been labeled as lacking the ability to express their emotion. The main objective of this paper is to present a pilot study in studying the autistic children's' emotions and feelings upon being triggered by the humanoid-robot, NAO. Kansei Engineering, which is a powerful emotion extraction mechanism is adopted in the study to assess the children's' emotion. The experiment involved two autistic children and one normal child who were given four interaction modules in separate intervention session. The experiment conducted is to observe how robot triggers the emotion of these children. The result shows that different types of modules which would trigger different emotional reactions. This result provides a basis for further investigation of the assessment of autistic children's feeling and emotion. The result will ultimately contribute to finding best possible therapy for autistic children towards the used of humanoid-robot. |
Fauzan, Norsiah; Amran, Nur Hurunain Brain Waves and Connectivity of Autism Spectrum Disorders Inproceedings Bekirogullari, Z; Minas, MY (Ed.): 5TH ICEEPSY INTERNATIONAL CONFERENCE ON EDUCATION & EDUCATIONAL PSYCHOLOGY, pp. 882-890, Future Academy ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2015, ISSN: 1877-0428, (5th International Conference on Education & Educational Psychology (ICEEPSY), Kyrenia, CYPRUS, OCT 22-25, 2014). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Brain Wave, QEEG @inproceedings{ISI:000380543800120, title = {Brain Waves and Connectivity of Autism Spectrum Disorders}, author = {Norsiah Fauzan and Nur Hurunain Amran}, editor = {Z Bekirogullari and MY Minas}, url = {https://pdf.sciencedirectassets.com/277811/1-s2.0-S1877042815X00061/1-s2.0-S1877042815002347/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEAsaCXVzLWVhc3QtMSJIMEYCIQCgm5PeRjGuJs%2FUJb%2BNRF%2FWOFfuvUoMVHjXanlp25wBHwIhALQ2wmeXLsf9Rwq%2BX5WzF6rDMgvq7%2FX%2B7b0gX7FY4ooLKrQDCHQQAxoMMDU5MDAzNTQ2ODY1IgwLb5F7Uc008rTH9UYqkQNoEwl1YQO5kKEWlcB64xCjkqHQR4YbwYP4hoq1ILkkNKRhpv9o0bgb4UoPtpCS3%2BrUKbq8SCssGlDSsYBOVNHg2JLk303rPtinQGqPLbsYTJBd3VuPGSSoYboGqw3f3vBFDihnbsQuXoxGSqArfdcjoqqKqmun8%2BLoGDNj2McefVVziMlr%2FVsnAaaEa3DXvl%2BznaHSmmBLokwqeFOwf7DTdhaXn7O%2FlvCL68PdqZP0%2B8B76%2BJoCwoEwSl6vMTUosyB4tX2o4J%2B9ReEBtt98vRJldpAmW%2BYRO5Z93anjAmHhQvBKzDRkj5TBDASLdSMQRWr4EeUd7kF6m7QRqyibaF7HpjSLPQKx8FhlaL1XcRywVrMep5lfyFt%2F6C6fKfBqnJrSuNuRMW%2FRHXe7lBoufeNwj2d0NGoRYPO6FP2ReQ373cxKSLPdB6%2FtAXNIpjEc8PmQ%2BaD76gCEJKGUz8HUmd4VIOvqgiHMlH%2BUtklSWT9ofGwXbI8ljjEbIZ7jRZvfkQofijAkWx1Bqtl6WwSp0ClIDDB%2BN32BTrqATHRS5TGPB%2FtpLkMp1SeRhw67lD1SEncVtt5WKOlp9iOLhOCGUROuKcBbWP3hFkdJ2gdLGMBlsvNusF%2F1vMxEYQwhtZYe%2FYspLIS0D7cZx87qN%2B4qhbz6Xfn7XQgCEniAIxzqFYVF%2BM5YHS1Y6wpgPIsT85vSfsAWj3EK48PSGHCCGUuAgVmHvJY7RlpV%2B4gBFr6aVq2%2BybUBafN4G72V3soNviOzrAO42rblQZEY8YP369XAxzVu1691UwONrNifuchvJ4aaAqwJAnJI1z3oNgzR3BuIRN9apZEnjkd1rL%2FKh%2BMFWumYxKU8A%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200603T113652Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY2RAPNZV2%2F20200603%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=963068d8a700ef6051eb168352d5514f3a2c59bbe4897a18021ed88fcd357787&hash=1bae837f1d781ff8448ddf60adea3c53a296f68f7532cb7ab2f863b30738404c&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1877042815002347&tid=spdf-5ece5ae3-a73e-4022-aa3d-631da67f5366&sid=233beaf1712ca3410b898ab8a955e0798a8fgxrqb&type=client}, doi = {10.1016/j.sbspro.2015.01.204}, issn = {1877-0428}, year = {2015}, date = {2015-01-01}, booktitle = {5TH ICEEPSY INTERNATIONAL CONFERENCE ON EDUCATION & EDUCATIONAL PSYCHOLOGY}, volume = {171}, pages = {882-890}, publisher = {ELSEVIER SCIENCE BV}, address = {SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}, organization = {Future Academy}, series = {Procedia Social and Behavioral Sciences}, abstract = {This research reports the brain waave pattern of individuals with ASD and to pinpoint the anomalies of ASD and its difference with the normal group. The findings revealed a general disruption in the overall connectivity of the different lobes known as hyper or hypo connectivity with excessive presence of slow wave (delta) at the frontal lobe and deficiency of beta in most of the brain regions. Other anomalies includes low alpha at the sensory motor regions, excess alpha in the left hemisphere and excess theta in the right frontal region. These anomalies explain the associated problem in attention, anxiety and social behaviors of ASD. (C) 2015 The Authors. Published by Elsevier Ltd.}, note = {5th International Conference on Education & Educational Psychology (ICEEPSY), Kyrenia, CYPRUS, OCT 22-25, 2014}, keywords = {Autism Spectrum Disorders, Brain Wave, QEEG}, pubstate = {published}, tppubtype = {inproceedings} } This research reports the brain waave pattern of individuals with ASD and to pinpoint the anomalies of ASD and its difference with the normal group. The findings revealed a general disruption in the overall connectivity of the different lobes known as hyper or hypo connectivity with excessive presence of slow wave (delta) at the frontal lobe and deficiency of beta in most of the brain regions. Other anomalies includes low alpha at the sensory motor regions, excess alpha in the left hemisphere and excess theta in the right frontal region. These anomalies explain the associated problem in attention, anxiety and social behaviors of ASD. (C) 2015 The Authors. Published by Elsevier Ltd. |
Khowaja, K; Salim, S S Heuristics to evaluate interactive systems for children with Autism Spectrum Disorder (ASD) Journal Article PLoS ONE, 10 (7), 2015, ISSN: 19326203, (cited By 12). Abstract | Links | BibTeX | Tags: Adult, Article, Autism, Autism Spectrum Disorders, Bibliographic Database, Children, Computer Interface, Computer Program, Controlled Study, Evaluation Study, Female, Heuristics, Human, Information System, Interactive System, Interrater Reliability, Male, Practice Guideline, Questionnaires, Software, Surveys @article{Khowaja2015, title = {Heuristics to evaluate interactive systems for children with Autism Spectrum Disorder (ASD)}, author = {K Khowaja and S S Salim}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941313427&doi=10.1371%2fjournal.pone.0132187&partnerID=40&md5=60f3ee4a32fd71be4b842755a58527cf}, doi = {10.1371/journal.pone.0132187}, issn = {19326203}, year = {2015}, date = {2015-01-01}, journal = {PLoS ONE}, volume = {10}, number = {7}, publisher = {Public Library of Science}, abstract = {In this paper, we adapted and expanded a set of guidelines, also known as heuristics, to evaluate the usability of software to now be appropriate for software aimed at children with autism spectrum disorder (ASD). We started from the heuristics developed by Nielsen in 1990 and developed a modified set of 15 heuristics. The first 5 heuristics of this set are the same as those of the original Nielsen set, the next 5 heuristics are improved versions of Nielsen's, whereas the last 5 heuristics are new. We present two evaluation studies of our new heuristics. In the first, two groups compared Nielsen's set with the modified set of heuristics, with each group evaluating two interactive systems. The Nielsen's heuristics were assigned to the control group while the experimental group was given the modified set of heuristics, and a statistical analysis was conducted to determine the effectiveness of the modified set, the contribution of 5 new heuristics and the impact of 5 improved heuristics. The results show that the modified set is significantly more effective than the original, and we found a significant difference between the five improved heuristics and their corresponding heuristics in the original set. The five new heuristics are effective in problem identification using the modified set. The second study was conducted using a system which was developed to ascertain if the modified set was effective at identifying usability problems that could be fixed before the release of software. The post-study analysis revealed that the majority of the usability problems identified by the experts were fixed in the updated version of the system. © 2015 Khowaja, Salim.}, note = {cited By 12}, keywords = {Adult, Article, Autism, Autism Spectrum Disorders, Bibliographic Database, Children, Computer Interface, Computer Program, Controlled Study, Evaluation Study, Female, Heuristics, Human, Information System, Interactive System, Interrater Reliability, Male, Practice Guideline, Questionnaires, Software, Surveys}, pubstate = {published}, tppubtype = {article} } In this paper, we adapted and expanded a set of guidelines, also known as heuristics, to evaluate the usability of software to now be appropriate for software aimed at children with autism spectrum disorder (ASD). We started from the heuristics developed by Nielsen in 1990 and developed a modified set of 15 heuristics. The first 5 heuristics of this set are the same as those of the original Nielsen set, the next 5 heuristics are improved versions of Nielsen's, whereas the last 5 heuristics are new. We present two evaluation studies of our new heuristics. In the first, two groups compared Nielsen's set with the modified set of heuristics, with each group evaluating two interactive systems. The Nielsen's heuristics were assigned to the control group while the experimental group was given the modified set of heuristics, and a statistical analysis was conducted to determine the effectiveness of the modified set, the contribution of 5 new heuristics and the impact of 5 improved heuristics. The results show that the modified set is significantly more effective than the original, and we found a significant difference between the five improved heuristics and their corresponding heuristics in the original set. The five new heuristics are effective in problem identification using the modified set. The second study was conducted using a system which was developed to ascertain if the modified set was effective at identifying usability problems that could be fixed before the release of software. The post-study analysis revealed that the majority of the usability problems identified by the experts were fixed in the updated version of the system. © 2015 Khowaja, Salim. |
Alwi, N; Harun, D; Jh, L Multidisciplinary Parent Education for Caregivers of Children With Autism Spectrum Disorders (ASD): Implications for Clinical Practice Journal Article Archives of Psychiatric Nursing, 29 (1), pp. 5, 2015, ISSN: 08839417, (cited By 0). Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Caregiver, Child Development Disorders, Children, Human, Parents, Pervasive @article{Alwi20155, title = {Multidisciplinary Parent Education for Caregivers of Children With Autism Spectrum Disorders (ASD): Implications for Clinical Practice}, author = {N Alwi and D Harun and L Jh}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921463937&doi=10.1016%2fj.apnu.2014.09.010&partnerID=40&md5=afc618a09a89f9461c587ab56a96559a}, doi = {10.1016/j.apnu.2014.09.010}, issn = {08839417}, year = {2015}, date = {2015-01-01}, journal = {Archives of Psychiatric Nursing}, volume = {29}, number = {1}, pages = {5}, publisher = {W.B. Saunders}, note = {cited By 0}, keywords = {Autism, Autism Spectrum Disorders, Caregiver, Child Development Disorders, Children, Human, Parents, Pervasive}, pubstate = {published}, tppubtype = {article} } |
Roffeei, Mohd S H; Abdullah, N; Basar, S K R Seeking social support on Facebook for children with Autism Spectrum Disorders (ASDs) Journal Article International Journal of Medical Informatics, 84 (5), pp. 375-385, 2015, ISSN: 13865056, (cited By 43). Abstract | Links | BibTeX | Tags: Article, ASD, Autism, Autism Spectrum Disorders, Caregiver, Children, Consumer Health Information, Content Analysis, Diseases, E-mail, Facebook, Family, Friendship, Human, Internet, Parents, Patient Referral, Priority Journal, Psychology, Qualitative Analysis, Self Esteem, Social Media, Social Networking, Social Support, Statistics, Support Group, Telemedicine, Utilization @article{MohdRoffeei2015375, title = {Seeking social support on Facebook for children with Autism Spectrum Disorders (ASDs)}, author = {S H Mohd Roffeei and N Abdullah and S K R Basar}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84924517643&doi=10.1016%2fj.ijmedinf.2015.01.015&partnerID=40&md5=7296825093cbf87388b5b65023e59371}, doi = {10.1016/j.ijmedinf.2015.01.015}, issn = {13865056}, year = {2015}, date = {2015-01-01}, journal = {International Journal of Medical Informatics}, volume = {84}, number = {5}, pages = {375-385}, publisher = {Elsevier Ireland Ltd}, abstract = {Purpose: This study examined the types of social support messages exchanged between parents and/or caregivers of children with Autism Spectrum Disorders (ASDs) who communicate via Facebook (FB); it studies two autism support groups: Autism Malaysia (AM) and Autism Children Club (ACA). Method: A total of 3637 messages including both postings (381) and comments (3256) were gathered from August to November 2013. The study employed a deductive content-analysis approach. The qualitative data were analyzed for social support themes adapted from the Social Support Behavior Code (SSBC). Before collecting the data, email was sent to the FB groups' moderators to gain formal consent from the members. Result: The finding indicated that the highest percentage of messages offered dealt with Informational support (30.7%) followed by Emotional support (27.8%). Network and Esteem support messages were responsible for 20.97% and 20.2%, respectively. Tangible Assistance was the least frequent category (0.4%). A majority of these messages discussed and addressed challenges and difficulties associated with caring and raising ASD children, as well as issues such as children's social lives and self-care routines. Conclusion: Understandings of how FB is used to seek social support could impact supporting and maintaining effective communication among parents and/or caregivers of children with ASDs. This information could also improve approaches used by health professionals in developing, improving and evaluating social support systems for parents/caregivers. © 2015 Elsevier Ireland Ltd.}, note = {cited By 43}, keywords = {Article, ASD, Autism, Autism Spectrum Disorders, Caregiver, Children, Consumer Health Information, Content Analysis, Diseases, E-mail, Facebook, Family, Friendship, Human, Internet, Parents, Patient Referral, Priority Journal, Psychology, Qualitative Analysis, Self Esteem, Social Media, Social Networking, Social Support, Statistics, Support Group, Telemedicine, Utilization}, pubstate = {published}, tppubtype = {article} } Purpose: This study examined the types of social support messages exchanged between parents and/or caregivers of children with Autism Spectrum Disorders (ASDs) who communicate via Facebook (FB); it studies two autism support groups: Autism Malaysia (AM) and Autism Children Club (ACA). Method: A total of 3637 messages including both postings (381) and comments (3256) were gathered from August to November 2013. The study employed a deductive content-analysis approach. The qualitative data were analyzed for social support themes adapted from the Social Support Behavior Code (SSBC). Before collecting the data, email was sent to the FB groups' moderators to gain formal consent from the members. Result: The finding indicated that the highest percentage of messages offered dealt with Informational support (30.7%) followed by Emotional support (27.8%). Network and Esteem support messages were responsible for 20.97% and 20.2%, respectively. Tangible Assistance was the least frequent category (0.4%). A majority of these messages discussed and addressed challenges and difficulties associated with caring and raising ASD children, as well as issues such as children's social lives and self-care routines. Conclusion: Understandings of how FB is used to seek social support could impact supporting and maintaining effective communication among parents and/or caregivers of children with ASDs. This information could also improve approaches used by health professionals in developing, improving and evaluating social support systems for parents/caregivers. © 2015 Elsevier Ireland Ltd. |
Gallagher, D; Voronova, A; Zander, M A; Cancino, G I; Bramall, A; Krause, M P; Abad, C; Tekin, M; Neilsen, P M; Callen, D F; Scherer, S W; Keller, G M; Kaplan, D R; Walz, K; Miller, F D Ankrd11 is a chromatin regulator involved in autism that is essential for neural development Journal Article Developmental Cell, 32 (1), pp. 31-42, 2015, ISSN: 15345807, (cited By 52). Abstract | Links | BibTeX | Tags: Acetylation, Animal Behavior, Animal Cell, Animals, Ankrd11 Protein, Ankyrin, Ankyrin Repeat Domain Containing Protein 11, Article, Autism, Autism Spectrum Disorders, Behaviour, Biological Marker, Blotting, Brain Cell Culture, Cell Culture, Cell Differentiation, Cell Proliferation, Cells, Chemistry, Chromatin, Chromatin Immunoprecipitation, Cultured, DNA Binding Protein, DNA Microarray, DNA-Binding Proteins, Enzyme Activity, Female, Gene, Gene Expression Profiling, Gene Targeting, Genetics, Histone, Histone Acetylation, Histone Acetyltransferase, Histone Deacetylase, Histone Deacetylase 3, Histone Deacetylases, Histones, Human, Human Cell, Immunoprecipitation, Messenger, Messenger RNA, Metabolism, Mice, Mouse, Murinae, Mus, Nerve Cell Differentiation, Nervous System Development, Neurogenesis, Nonhuman, Oligonucleotide Array Sequence Analysis, Pathology, Phenotype, Physiology, Point Mutation, Post-Translational, Priority Journal, Protein Expression, Protein Processing, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, Reverse Transcription Polymerase Chain Reaction, RNA, Small Interfering, Small Interfering RNA, Unclassified Drug, Western, Western Blotting @article{Gallagher201531, title = {Ankrd11 is a chromatin regulator involved in autism that is essential for neural development}, author = {D Gallagher and A Voronova and M A Zander and G I Cancino and A Bramall and M P Krause and C Abad and M Tekin and P M Neilsen and D F Callen and S W Scherer and G M Keller and D R Kaplan and K Walz and F D Miller}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922343890&doi=10.1016%2fj.devcel.2014.11.031&partnerID=40&md5=ad7b8bd3ead790f092e1d8a276d4f25c}, doi = {10.1016/j.devcel.2014.11.031}, issn = {15345807}, year = {2015}, date = {2015-01-01}, journal = {Developmental Cell}, volume = {32}, number = {1}, pages = {31-42}, publisher = {Cell Press}, abstract = {Ankrd11 is a potential chromatin regulator implicated in neural development and autism spectrum disorder (ASD) with no known function in the brain. Here, we show that knockdown of Ankrd11 in developing murine or human cortical neural precursors caused decreased proliferation, reduced neurogenesis, andaberrant neuronal positioning. Similar cellular phenotypes and aberrant ASD-like behaviors were observed in Yoda mice carrying a point mutation inthe Ankrd11 HDAC-binding domain. Consistent with a role for Ankrd11 in histone acetylation, Ankrd11 was associated with chromatin and colocalized with HDAC3, and expression and histone acetylation of Ankrd11 target genes were altered in Yoda neural precursors. Moreover, the Ankrd11 knockdown-mediated decrease in precursor proliferation was rescued by inhibiting histone acetyltransferase activity or expressing HDAC3. Thus, Ankrd11 is a crucial chromatin regulator that controls histone acetylation and gene expression during neural development, thereby providing a likely explanation for its association with cognitive dysfunction and ASD. © 2015 Elsevier Inc.}, note = {cited By 52}, keywords = {Acetylation, Animal Behavior, Animal Cell, Animals, Ankrd11 Protein, Ankyrin, Ankyrin Repeat Domain Containing Protein 11, Article, Autism, Autism Spectrum Disorders, Behaviour, Biological Marker, Blotting, Brain Cell Culture, Cell Culture, Cell Differentiation, Cell Proliferation, Cells, Chemistry, Chromatin, Chromatin Immunoprecipitation, Cultured, DNA Binding Protein, DNA Microarray, DNA-Binding Proteins, Enzyme Activity, Female, Gene, Gene Expression Profiling, Gene Targeting, Genetics, Histone, Histone Acetylation, Histone Acetyltransferase, Histone Deacetylase, Histone Deacetylase 3, Histone Deacetylases, Histones, Human, Human Cell, Immunoprecipitation, Messenger, Messenger RNA, Metabolism, Mice, Mouse, Murinae, Mus, Nerve Cell Differentiation, Nervous System Development, Neurogenesis, Nonhuman, Oligonucleotide Array Sequence Analysis, Pathology, Phenotype, Physiology, Point Mutation, Post-Translational, Priority Journal, Protein Expression, Protein Processing, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, Reverse Transcription Polymerase Chain Reaction, RNA, Small Interfering, Small Interfering RNA, Unclassified Drug, Western, Western Blotting}, pubstate = {published}, tppubtype = {article} } Ankrd11 is a potential chromatin regulator implicated in neural development and autism spectrum disorder (ASD) with no known function in the brain. Here, we show that knockdown of Ankrd11 in developing murine or human cortical neural precursors caused decreased proliferation, reduced neurogenesis, andaberrant neuronal positioning. Similar cellular phenotypes and aberrant ASD-like behaviors were observed in Yoda mice carrying a point mutation inthe Ankrd11 HDAC-binding domain. Consistent with a role for Ankrd11 in histone acetylation, Ankrd11 was associated with chromatin and colocalized with HDAC3, and expression and histone acetylation of Ankrd11 target genes were altered in Yoda neural precursors. Moreover, the Ankrd11 knockdown-mediated decrease in precursor proliferation was rescued by inhibiting histone acetyltransferase activity or expressing HDAC3. Thus, Ankrd11 is a crucial chromatin regulator that controls histone acetylation and gene expression during neural development, thereby providing a likely explanation for its association with cognitive dysfunction and ASD. © 2015 Elsevier Inc. |
Banire, B; Jomhari, N; Ahmad, R Visual Hybrid Development Learning System (VHDLS) Framework for Children with Autism Journal Article Journal of Autism and Developmental Disorders, 45 (10), pp. 3069-3084, 2015, ISSN: 01623257, (cited By 7). Abstract | Links | BibTeX | Tags: Article, Attention, Autism, Autism Spectrum Disorders, Children, Computer Interface, Education, Education of Intellectually Disabled, Educational Model, Feedback System, Female, Human, Learning, Male, Models, Occupational Therapist, Preschool, Preschool Child, Priority Journal, Procedures, Psychology, Quality of Life, Treatment Duration, User Interfaces, Visual Hybrid Development Learning System, Visual Stimulation @article{Banire20153069, title = {Visual Hybrid Development Learning System (VHDLS) Framework for Children with Autism}, author = {B Banire and N Jomhari and R Ahmad}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941942795&doi=10.1007%2fs10803-015-2469-7&partnerID=40&md5=3c5ecc776725aea4e585e17a1ae805c7}, doi = {10.1007/s10803-015-2469-7}, issn = {01623257}, year = {2015}, date = {2015-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {45}, number = {10}, pages = {3069-3084}, publisher = {Springer New York LLC}, abstract = {The effect of education on children with autism serves as a relative cure for their deficits. As a result of this, they require special techniques to gain their attention and interest in learning as compared to typical children. Several studies have shown that these children are visual learners. In this study, we proposed a Visual Hybrid Development Learning System (VHDLS) framework that is based on an instructional design model, multimedia cognitive learning theory, and learning style in order to guide software developers in developing learning systems for children with autism. The results from this study showed that the attention of children with autism increased more with the proposed VHDLS framework. © 2015, Springer Science+Business Media New York.}, note = {cited By 7}, keywords = {Article, Attention, Autism, Autism Spectrum Disorders, Children, Computer Interface, Education, Education of Intellectually Disabled, Educational Model, Feedback System, Female, Human, Learning, Male, Models, Occupational Therapist, Preschool, Preschool Child, Priority Journal, Procedures, Psychology, Quality of Life, Treatment Duration, User Interfaces, Visual Hybrid Development Learning System, Visual Stimulation}, pubstate = {published}, tppubtype = {article} } The effect of education on children with autism serves as a relative cure for their deficits. As a result of this, they require special techniques to gain their attention and interest in learning as compared to typical children. Several studies have shown that these children are visual learners. In this study, we proposed a Visual Hybrid Development Learning System (VHDLS) framework that is based on an instructional design model, multimedia cognitive learning theory, and learning style in order to guide software developers in developing learning systems for children with autism. The results from this study showed that the attention of children with autism increased more with the proposed VHDLS framework. © 2015, Springer Science+Business Media New York. |
Rahim, M H B A; Zamin, N AUTISTHERAPIBOT: Autonomous robotic autism therapists assistant for autistic children Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 1). Abstract | Links | BibTeX | Tags: Asperger Syndrome, Assistant Robot, Autism Spectrum Disorders, Autonomous Robotics, Diseases, Learning, Manufacture, Process of Learning, Robotics, Robots, Traditional Learning @conference{Rahim2015248, title = {AUTISTHERAPIBOT: Autonomous robotic autism therapists assistant for autistic children}, author = {M H B A Rahim and N Zamin}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959477969&doi=10.1109%2fROMA.2014.7295896&partnerID=40&md5=97aba13712e291d19218c277f557e204}, doi = {10.1109/ROMA.2014.7295896}, isbn = {9781479957651}, year = {2015}, date = {2015-01-01}, journal = {2014 IEEE International Symposium on Robotics and Manufacturing Automation, IEEE-ROMA2014}, pages = {248-253}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Recent studies unravels that Autistic Spectrum Disorder which include Asperger Syndrome have many bad impacts. Among the symptoms of ASD are difficulties to focus that leads to difficulties in learning especially to those ASD children. Thus, the objective of this project is to investigate the current teaching method used by the autism therapists and solve the weaknesses via robotic means. The NXT will be used in order to aid the therapists in educating those children with ASD. Upon the completion of the prototype, it will be tested against the autistic children to check on the efficacy of the developed prototype. The project will focus on how to attract the autistic children into learning via the usage of robotic application. In a preliminary investigation, multiple robotic designs and programming approach are studied to produce a robotic application that can assist therapists and engage with the target autistic children in order to facilitate their process of learning. Interviews with the therapists and live observation at the selected special school are conducted to understand the traditional learning process that are used by the therapists and identify the weaknesses in it to improvise it. The significance of this robotic application is to fulfill the depravedness in the learning capabilities of the autistic children and also to assist the therapists in their daily routine. © 2014 IEEE.}, note = {cited By 1}, keywords = {Asperger Syndrome, Assistant Robot, Autism Spectrum Disorders, Autonomous Robotics, Diseases, Learning, Manufacture, Process of Learning, Robotics, Robots, Traditional Learning}, pubstate = {published}, tppubtype = {conference} } Recent studies unravels that Autistic Spectrum Disorder which include Asperger Syndrome have many bad impacts. Among the symptoms of ASD are difficulties to focus that leads to difficulties in learning especially to those ASD children. Thus, the objective of this project is to investigate the current teaching method used by the autism therapists and solve the weaknesses via robotic means. The NXT will be used in order to aid the therapists in educating those children with ASD. Upon the completion of the prototype, it will be tested against the autistic children to check on the efficacy of the developed prototype. The project will focus on how to attract the autistic children into learning via the usage of robotic application. In a preliminary investigation, multiple robotic designs and programming approach are studied to produce a robotic application that can assist therapists and engage with the target autistic children in order to facilitate their process of learning. Interviews with the therapists and live observation at the selected special school are conducted to understand the traditional learning process that are used by the therapists and identify the weaknesses in it to improvise it. The significance of this robotic application is to fulfill the depravedness in the learning capabilities of the autistic children and also to assist the therapists in their daily routine. © 2014 IEEE. |
Khir, N H B M; Ismail, M; Jamil, N; Razak, F H A Can spatiotemporal gait analysis identify a child with Autistic Spectrum Disorder? Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 0). Abstract | Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Children with Autism, Critical Analysis, Diseases, Economic and Social Effects, Gait Analysis, Gait Pattern, Literature Reviews, Manufacture, Quantitative Study, Robotics, Spatiotemporal @conference{Khir2015115, title = {Can spatiotemporal gait analysis identify a child with Autistic Spectrum Disorder?}, author = {N H B M Khir and M Ismail and N Jamil and F H A Razak}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959505294&doi=10.1109%2fROMA.2014.7295872&partnerID=40&md5=dbaae7a86b78fa037d60f4b944ed2dc6}, doi = {10.1109/ROMA.2014.7295872}, isbn = {9781479957651}, year = {2015}, date = {2015-01-01}, journal = {2014 IEEE International Symposium on Robotics and Manufacturing Automation, IEEE-ROMA2014}, pages = {115-119}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {The aim of this study is to investigate the ability of spatiotemporal gait analysis to identify the Autistic Spectrum Disorder child (ASD). Even though the interest in gait analysis is becoming popular among researchers these days, yet very few quantitative studies are done on children with autism. Since motor development is not influenced by both social and linguistic development, it is believed to be a probable bio-marker of autism. The spatiotemporal gait pattern is being explored to understand the difference it may bring upon in the future. Six findings from previous researches are reviewed and analyzed to understand the crucial factor involves in this research. From the literature review and critical analysis done, spatiotemporal gait analysis may be used to identify the ASD child because the gait patterns of ASD child are discovered to be different from normal children. © 2014 IEEE.}, note = {cited By 0}, keywords = {Autism, Autism Spectrum Disorders, Children with Autism, Critical Analysis, Diseases, Economic and Social Effects, Gait Analysis, Gait Pattern, Literature Reviews, Manufacture, Quantitative Study, Robotics, Spatiotemporal}, pubstate = {published}, tppubtype = {conference} } The aim of this study is to investigate the ability of spatiotemporal gait analysis to identify the Autistic Spectrum Disorder child (ASD). Even though the interest in gait analysis is becoming popular among researchers these days, yet very few quantitative studies are done on children with autism. Since motor development is not influenced by both social and linguistic development, it is believed to be a probable bio-marker of autism. The spatiotemporal gait pattern is being explored to understand the difference it may bring upon in the future. Six findings from previous researches are reviewed and analyzed to understand the crucial factor involves in this research. From the literature review and critical analysis done, spatiotemporal gait analysis may be used to identify the ASD child because the gait patterns of ASD child are discovered to be different from normal children. © 2014 IEEE. |
Khosrowabadi, R; Quek, C; Ang, K K; Wahab, A; Chen, Annabel S -H Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions Journal Article Applied Soft Computing Journal, 32 , pp. 335-346, 2015, ISSN: 15684946, (cited By 6). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Biomedical Signal Processing, Brain, Connectivity Feature, Connectivity Pattern, Diseases, Electroencephalography, Face Perceptions, Feature Extraction, Functional Connectivity, Pattern Recognition, Pattern Recognition Techniques @article{Khosrowabadi2015335, title = {Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions}, author = {R Khosrowabadi and C Quek and K K Ang and A Wahab and S -H Annabel Chen}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927922520&doi=10.1016%2fj.asoc.2015.03.030&partnerID=40&md5=5973f80db5649e5c61e344907819a18b}, doi = {10.1016/j.asoc.2015.03.030}, issn = {15684946}, year = {2015}, date = {2015-01-01}, journal = {Applied Soft Computing Journal}, volume = {32}, pages = {335-346}, publisher = {Elsevier Ltd}, abstract = {In this study, a dynamic screening strategy is proposed to discriminate subjects with autistic spectrum disorder (ASD) from healthy controls. The ASD is defined as a neurodevelopmental disorder that disrupts normal patterns of connectivity between the brain regions. Therefore, the potential use of such abnormality for autism screening is investigated. The connectivity patterns are estimated from electroencephalogram (EEG) data collected from 8 brain regions under various mental states. The EEG data of 12 healthy controls and 6 autistic children (age matched in 7-10) were collected during eyes-open and eyes-close resting states as well as when subjects were exposed to affective faces (happy, sad and calm). Subsequently, the subjects were classified as autistic or healthy groups based on their brain connectivity patterns using pattern recognition techniques. Performance of the proposed system in each mental state is separately evaluated. The results present higher recognition rates using functional connectivity features when compared against other existing feature extraction methods. © 2015 Published by Elsevier B.V.}, note = {cited By 6}, keywords = {Autism Spectrum Disorders, Biomedical Signal Processing, Brain, Connectivity Feature, Connectivity Pattern, Diseases, Electroencephalography, Face Perceptions, Feature Extraction, Functional Connectivity, Pattern Recognition, Pattern Recognition Techniques}, pubstate = {published}, tppubtype = {article} } In this study, a dynamic screening strategy is proposed to discriminate subjects with autistic spectrum disorder (ASD) from healthy controls. The ASD is defined as a neurodevelopmental disorder that disrupts normal patterns of connectivity between the brain regions. Therefore, the potential use of such abnormality for autism screening is investigated. The connectivity patterns are estimated from electroencephalogram (EEG) data collected from 8 brain regions under various mental states. The EEG data of 12 healthy controls and 6 autistic children (age matched in 7-10) were collected during eyes-open and eyes-close resting states as well as when subjects were exposed to affective faces (happy, sad and calm). Subsequently, the subjects were classified as autistic or healthy groups based on their brain connectivity patterns using pattern recognition techniques. Performance of the proposed system in each mental state is separately evaluated. The results present higher recognition rates using functional connectivity features when compared against other existing feature extraction methods. © 2015 Published by Elsevier B.V. |
2014 |
Brett, M; McPherson, J; Zang, Z J; Lai, A; Tan, E -S; Ng, I; Ong, L -C; Cham, B; Tan, P; Rozen, S; Tan, E -C PLoS ONE, 9 (4), 2014, ISSN: 19326203, (cited By 20). Abstract | Links | BibTeX | Tags: Article, ATRX Gene, Autism, Autism Spectrum Disorders, Children, Clinical Article, Congenital Abnormalities, Congenital Malformation, Controlled Study, Diagnostic Test, DNA Mutational Analysis, Female, Gene, Gene Expression Profiling, Gene Mutation, Gene Targeting, Genetic Association, Genetic Association Studies, Genetic Disorder, Genetic Variability, Genetic Variation, Genetics, Genome-Wide Association Study, High Throughput Sequencing, High-Throughput Nucleotide Sequencing, Human, Intellectual Disability, Intellectual Impairment, Karyotype, L1CAM Gene, Male, Mutation, Nonsense Mutation, Nucleotide Sequence, Phenotype, Polymorphism, RNA Splice Sites, RNA Splicing, Single Nucleotide, Single Nucleotide Polymorphism @article{Brett2014, title = {Massively parallel sequencing of patients with intellectual disability, congenital anomalies and/or autism spectrum disorders with a targeted gene panel}, author = {M Brett and J McPherson and Z J Zang and A Lai and E -S Tan and I Ng and L -C Ong and B Cham and P Tan and S Rozen and E -C Tan}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898625023&doi=10.1371%2fjournal.pone.0093409&partnerID=40&md5=f673e204a009bf84de81ea69dcd026db}, doi = {10.1371/journal.pone.0093409}, issn = {19326203}, year = {2014}, date = {2014-01-01}, journal = {PLoS ONE}, volume = {9}, number = {4}, publisher = {Public Library of Science}, abstract = {Developmental delay and/or intellectual disability (DD/ID) affects 1-3% of all children. At least half of these are thought to have a genetic etiology. Recent studies have shown that massively parallel sequencing (MPS) using a targeted gene panel is particularly suited for diagnostic testing for genetically heterogeneous conditions. We report on our experiences with using massively parallel sequencing of a targeted gene panel of 355 genes for investigating the genetic etiology of eight patients with a wide range of phenotypes including DD/ID, congenital anomalies and/or autism spectrum disorder. Targeted sequence enrichment was performed using the Agilent SureSelect Target Enrichment Kit and sequenced on the Illumina HiSeq2000 using paired-end reads. For all eight patients, 81-84% of the targeted regions achieved read depths of at least 20×, with average read depths overlapping targets ranging from 322 × to 798 ×. Causative variants were successfully identified in two of the eight patients: a nonsense mutation in the ATRX gene and a canonical splice site mutation in the L1CAM gene. In a third patient, a canonical splice site variant in the USP9X gene could likely explain all or some of her clinical phenotypes. These results confirm the value of targeted MPS for investigating DD/ID in children for diagnostic purposes. However, targeted gene MPS was less likely to provide a genetic diagnosis for children whose phenotype includes autism. © 2014 Brett et al.}, note = {cited By 20}, keywords = {Article, ATRX Gene, Autism, Autism Spectrum Disorders, Children, Clinical Article, Congenital Abnormalities, Congenital Malformation, Controlled Study, Diagnostic Test, DNA Mutational Analysis, Female, Gene, Gene Expression Profiling, Gene Mutation, Gene Targeting, Genetic Association, Genetic Association Studies, Genetic Disorder, Genetic Variability, Genetic Variation, Genetics, Genome-Wide Association Study, High Throughput Sequencing, High-Throughput Nucleotide Sequencing, Human, Intellectual Disability, Intellectual Impairment, Karyotype, L1CAM Gene, Male, Mutation, Nonsense Mutation, Nucleotide Sequence, Phenotype, Polymorphism, RNA Splice Sites, RNA Splicing, Single Nucleotide, Single Nucleotide Polymorphism}, pubstate = {published}, tppubtype = {article} } Developmental delay and/or intellectual disability (DD/ID) affects 1-3% of all children. At least half of these are thought to have a genetic etiology. Recent studies have shown that massively parallel sequencing (MPS) using a targeted gene panel is particularly suited for diagnostic testing for genetically heterogeneous conditions. We report on our experiences with using massively parallel sequencing of a targeted gene panel of 355 genes for investigating the genetic etiology of eight patients with a wide range of phenotypes including DD/ID, congenital anomalies and/or autism spectrum disorder. Targeted sequence enrichment was performed using the Agilent SureSelect Target Enrichment Kit and sequenced on the Illumina HiSeq2000 using paired-end reads. For all eight patients, 81-84% of the targeted regions achieved read depths of at least 20×, with average read depths overlapping targets ranging from 322 × to 798 ×. Causative variants were successfully identified in two of the eight patients: a nonsense mutation in the ATRX gene and a canonical splice site mutation in the L1CAM gene. In a third patient, a canonical splice site variant in the USP9X gene could likely explain all or some of her clinical phenotypes. These results confirm the value of targeted MPS for investigating DD/ID in children for diagnostic purposes. However, targeted gene MPS was less likely to provide a genetic diagnosis for children whose phenotype includes autism. © 2014 Brett et al. |
Dehkordi, Sara Reisi; Rias, Riaza Mohd TAP ON ME: ATHERAPEUTIC GAME FOR CHILDREN WITH AUTISM SPECTRUM DISORDER FOCUSING ON SOCIAL COMMUNICATION SKILLS Inproceedings Baharom, F; Yusof, Y; Yusof, SAM; Puteh, N; Salam, SNA (Ed.): PROCEEDING OF KNOWLEDGE MANAGEMENT INTERNATIONAL CONFERENCE (KMICE) 2014, VOLS 1 AND 2, pp. 773-777, Univ Utara Malaysia, Coll Arts & Sci; Rangsit Univ; Minist Tourism & Culture Malaysia; Malaysia Convent & Exhibit Bur; gurteen; Knowledge Management Profess Soc; Assoc Informat Syst, Malaysia Chapter, Special Interest Grp Vice President; Univ Utara Malaysia Press; ITU UMM; OPE, Comp Profess Enchrichment & Dev Div; AWFATECH; AEA; LADA; GEOINFO UNIV UTARI MALAYSIA-UUM, COLL ARTS & SCI, INFOR TECHNOL BLDG, SINTOK, KEDAH 06010, MALAYSIA, 2014, ISBN: 978-983-2078-92-0, (Knowledge Management International Conference (KMICe2014), Langkawi, MALAYSIA, AUG 12-15, 2014). Abstract | BibTeX | Tags: Autism Spectrum Disorders, Computer Games, Disabilities, Social Skills @inproceedings{ISI:000346752100131, title = {TAP ON ME: ATHERAPEUTIC GAME FOR CHILDREN WITH AUTISM SPECTRUM DISORDER FOCUSING ON SOCIAL COMMUNICATION SKILLS}, author = {Sara Reisi Dehkordi and Riaza Mohd Rias}, editor = {F Baharom and Y Yusof and SAM Yusof and N Puteh and SNA Salam}, isbn = {978-983-2078-92-0}, year = {2014}, date = {2014-01-01}, booktitle = {PROCEEDING OF KNOWLEDGE MANAGEMENT INTERNATIONAL CONFERENCE (KMICE) 2014, VOLS 1 AND 2}, pages = {773-777}, publisher = {UNIV UTARI MALAYSIA-UUM}, address = {COLL ARTS & SCI, INFOR TECHNOL BLDG, SINTOK, KEDAH 06010, MALAYSIA}, organization = {Univ Utara Malaysia, Coll Arts & Sci; Rangsit Univ; Minist Tourism & Culture Malaysia; Malaysia Convent & Exhibit Bur; gurteen; Knowledge Management Profess Soc; Assoc Informat Syst, Malaysia Chapter, Special Interest Grp Vice President; Univ Utara Malaysia Press; ITU UMM; OPE, Comp Profess Enchrichment & Dev Div; AWFATECH; AEA; LADA; GEOINFO}, abstract = {This paper presents TAPONME, a therapeutic game built on iOS platform to assist early elementary children with Autism Spectrum Disorder in practicing social communication skills. The purpose of this work is to hypothesize that therapeutic game which has been designed according to autistic children's limitations to engage them to play can be regarded as the third party in therapy sessions. Implementing effective psychological method in our game and using children's interesting objects with simple rules and simple environment could engage our 14 participants(6 of them with low functioning Autism and 8 of them with moderate functioning Autism) to play TAPONME for ten sessions. Participant observation was conducted to find out their behavior and reaction in game engagement and get feedback on their limitations and learning goals. as a basis for further research on this topic.}, note = {Knowledge Management International Conference (KMICe2014), Langkawi, MALAYSIA, AUG 12-15, 2014}, keywords = {Autism Spectrum Disorders, Computer Games, Disabilities, Social Skills}, pubstate = {published}, tppubtype = {inproceedings} } This paper presents TAPONME, a therapeutic game built on iOS platform to assist early elementary children with Autism Spectrum Disorder in practicing social communication skills. The purpose of this work is to hypothesize that therapeutic game which has been designed according to autistic children's limitations to engage them to play can be regarded as the third party in therapy sessions. Implementing effective psychological method in our game and using children's interesting objects with simple rules and simple environment could engage our 14 participants(6 of them with low functioning Autism and 8 of them with moderate functioning Autism) to play TAPONME for ten sessions. Participant observation was conducted to find out their behavior and reaction in game engagement and get feedback on their limitations and learning goals. as a basis for further research on this topic. |
Alwi, N; Harun, D; Henry, L J Psychological distress among parents having offspring with autism spectrum disorder (ASD) - A clinical view point Journal Article Disability and Health Journal, 7 (4), pp. 369-370, 2014, ISSN: 19366574, (cited By 1). Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Caregiver, Child Parent Relation, Coping Behaviour, Counseling, Depression, Disabled Person, Disabled Persons, Distress Syndrome, Family, Human, Letter, Marriage, Mental Stress, Parental Stress, Parents, Priority Journal, Progeny, Psychological, Psychological Well Being, Psychology, Single Parent, Social Status, Stress, Wellbeing @article{Alwi2014369, title = {Psychological distress among parents having offspring with autism spectrum disorder (ASD) - A clinical view point}, author = {N Alwi and D Harun and L J Henry}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927968335&doi=10.1016%2fj.dhjo.2014.04.008&partnerID=40&md5=a07c401e41bcac2ae5884cd4e8b8db30}, doi = {10.1016/j.dhjo.2014.04.008}, issn = {19366574}, year = {2014}, date = {2014-01-01}, journal = {Disability and Health Journal}, volume = {7}, number = {4}, pages = {369-370}, publisher = {Elsevier Inc.}, note = {cited By 1}, keywords = {Autism, Autism Spectrum Disorders, Caregiver, Child Parent Relation, Coping Behaviour, Counseling, Depression, Disabled Person, Disabled Persons, Distress Syndrome, Family, Human, Letter, Marriage, Mental Stress, Parental Stress, Parents, Priority Journal, Progeny, Psychological, Psychological Well Being, Psychology, Single Parent, Social Status, Stress, Wellbeing}, pubstate = {published}, tppubtype = {article} } |
Bhat, S; Acharya, U R; Adeli, H; Bairy, G M; Adeli, A Autism: Cause factors, early diagnosis and therapies Journal Article Reviews in the Neurosciences, 25 (6), pp. 841-850, 2014, ISSN: 03341763, (cited By 52). Abstract | Links | BibTeX | Tags: 4 Aminobutyric Acid, Adolescent, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Article, Assistive Technology, Attention, Autism, Autism Spectrum Disorders, Behaviour Therapy, Biological Marker, Brain, Child Development Disorders, Children, Cognition, Cystine, Developmental Disorders, Diseases, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emotion, Facial Expression, Functional Magnetic Resonance Imaging, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Human, Infant, Interpersonal Communication, Methionine, Nervous System Inflammation, Neurobiology, Neurofeedback, Oxidative Stress, Pervasive, Physiology, Preschool Child, Priority Journal, Psychoeducation, School Child, Social Interactions, Speech Therapy, Virtual Reality, Zonisamide @article{Bhat2014841, title = {Autism: Cause factors, early diagnosis and therapies}, author = {S Bhat and U R Acharya and H Adeli and G M Bairy and A Adeli}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925284617&doi=10.1515%2frevneuro-2014-0056&partnerID=40&md5=caaa32e66af70e70ec325241d01564c9}, doi = {10.1515/revneuro-2014-0056}, issn = {03341763}, year = {2014}, date = {2014-01-01}, journal = {Reviews in the Neurosciences}, volume = {25}, number = {6}, pages = {841-850}, publisher = {Walter de Gruyter GmbH}, abstract = {Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 in 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH.}, note = {cited By 52}, keywords = {4 Aminobutyric Acid, Adolescent, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Article, Assistive Technology, Attention, Autism, Autism Spectrum Disorders, Behaviour Therapy, Biological Marker, Brain, Child Development Disorders, Children, Cognition, Cystine, Developmental Disorders, Diseases, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emotion, Facial Expression, Functional Magnetic Resonance Imaging, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Human, Infant, Interpersonal Communication, Methionine, Nervous System Inflammation, Neurobiology, Neurofeedback, Oxidative Stress, Pervasive, Physiology, Preschool Child, Priority Journal, Psychoeducation, School Child, Social Interactions, Speech Therapy, Virtual Reality, Zonisamide}, pubstate = {published}, tppubtype = {article} } Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 in 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH. |
Bhat, S; Acharya, U R; Adeli, H; Bairy, G M; Adeli, A Automated diagnosis of autism: In search of a mathematical marker Journal Article Reviews in the Neurosciences, 25 (6), pp. 851-861, 2014, ISSN: 03341763, (cited By 34). Abstract | Links | BibTeX | Tags: Algorithms, Article, Autism, Autism Spectrum Disorders, Automation, Biological Model, Brain, Chaos Theory, Correlation Analysis, Detrended Fluctuation Analysis, Disease Marker, Electrode, Electroencephalogram, Electroencephalography, Entropy, Fourier Transformation, Fractal Analysis, Frequency Domain Analysis, Human, Mathematical Analysis, Mathematical Marker, Mathematical Parameters, Models, Neurologic Disease, Neurological, Nonlinear Dynamics, Nonlinear System, Pathophysiology, Priority Journal, Procedures, Signal Processing, Statistical Model, Time, Time Frequency Analysis, Wavelet Analysis @article{Bhat2014851, title = {Automated diagnosis of autism: In search of a mathematical marker}, author = {S Bhat and U R Acharya and H Adeli and G M Bairy and A Adeli}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925286949&doi=10.1515%2frevneuro-2014-0036&partnerID=40&md5=04858a5c9860e9027e3113835ca2e11f}, doi = {10.1515/revneuro-2014-0036}, issn = {03341763}, year = {2014}, date = {2014-01-01}, journal = {Reviews in the Neurosciences}, volume = {25}, number = {6}, pages = {851-861}, publisher = {Walter de Gruyter GmbH}, abstract = {Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion, learning ability, and communication of an individual. An early detection of the abnormality, due to irregular processing in the brain, can be achieved using electroencephalograms (EEG). The variations in the EEG signals cannot be deciphered by mere visual inspection. Computer-aided diagnostic tools can be used to recognize the subtle and invisible information present in the irregular EEG pattern and diagnose autism. This paper presents a state-of-theart review of automated EEG-based diagnosis of autism. Various time domain, frequency domain, time-frequency domain, and nonlinear dynamics for the analysis of autistic EEG signals are described briefly. A focus of the review is the use of nonlinear dynamics and chaos theory to discover the mathematical biomarkers for the diagnosis of the autism analogous to biological markers. A combination of the time-frequency and nonlinear dynamic analysis is the most effective approach to characterize the nonstationary and chaotic physiological signals for the automated EEGbased diagnosis of autism spectrum disorder (ASD). The features extracted using these nonlinear methods can be used as mathematical markers to detect the early stage of autism and aid the clinicians in their diagnosis. This will expedite the administration of appropriate therapies to treat the disorder. © 2014 Walter de Gruyter GmbH.}, note = {cited By 34}, keywords = {Algorithms, Article, Autism, Autism Spectrum Disorders, Automation, Biological Model, Brain, Chaos Theory, Correlation Analysis, Detrended Fluctuation Analysis, Disease Marker, Electrode, Electroencephalogram, Electroencephalography, Entropy, Fourier Transformation, Fractal Analysis, Frequency Domain Analysis, Human, Mathematical Analysis, Mathematical Marker, Mathematical Parameters, Models, Neurologic Disease, Neurological, Nonlinear Dynamics, Nonlinear System, Pathophysiology, Priority Journal, Procedures, Signal Processing, Statistical Model, Time, Time Frequency Analysis, Wavelet Analysis}, pubstate = {published}, tppubtype = {article} } Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion, learning ability, and communication of an individual. An early detection of the abnormality, due to irregular processing in the brain, can be achieved using electroencephalograms (EEG). The variations in the EEG signals cannot be deciphered by mere visual inspection. Computer-aided diagnostic tools can be used to recognize the subtle and invisible information present in the irregular EEG pattern and diagnose autism. This paper presents a state-of-theart review of automated EEG-based diagnosis of autism. Various time domain, frequency domain, time-frequency domain, and nonlinear dynamics for the analysis of autistic EEG signals are described briefly. A focus of the review is the use of nonlinear dynamics and chaos theory to discover the mathematical biomarkers for the diagnosis of the autism analogous to biological markers. A combination of the time-frequency and nonlinear dynamic analysis is the most effective approach to characterize the nonstationary and chaotic physiological signals for the automated EEGbased diagnosis of autism spectrum disorder (ASD). The features extracted using these nonlinear methods can be used as mathematical markers to detect the early stage of autism and aid the clinicians in their diagnosis. This will expedite the administration of appropriate therapies to treat the disorder. © 2014 Walter de Gruyter GmbH. |
Shobana, M; Saravanan, C Comparative study on attitudes and psychological problems of mothers towards their children with developmental disability Journal Article East Asian Archives of Psychiatry, 24 (1), pp. 16-22, 2014, ISSN: 20789947, (cited By 6). Abstract | Links | BibTeX | Tags: Adult, Anxiety, Article, Attitude, Autism, Autism Spectrum Disorders, Children, Comparative Study, Depression, Developmental Disabilities, Developmental Disorders, Down Syndrome, Education, Female, General Health Questionnaire 28, Home Care, Hostility, Human, Intellectual Disability, Intellectual Impairment, Major Clinical Study, Malaysia, Male, Mental Disorders, Mother Child Relation, Mothers, Named Inventories, Parental Attitude, Parental Attitude Scale, Prevalence, Psychological Well Being, Questionnaires, Rating Scale, School Child, Social Disability @article{Shobana201416, title = {Comparative study on attitudes and psychological problems of mothers towards their children with developmental disability}, author = {M Shobana and C Saravanan}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898619897&partnerID=40&md5=e877e03b868d1a11ed8f859a33057d5d}, issn = {20789947}, year = {2014}, date = {2014-01-01}, journal = {East Asian Archives of Psychiatry}, volume = {24}, number = {1}, pages = {16-22}, publisher = {Hong Kong Academy of Medicine Press}, abstract = {Objective: Parents' positive attitudes and psychological wellbeing play an important role in the development of the children with developmental disability. This study aimed to measure the prevalence of psychological problems among mothers of children with autism disorder, intellectual disability, and Down syndrome. The second aim was to assess the differences in mothers' attitudes and psychological problems among their children with intellectual disability, autism disorder, and Down syndrome. The third aim was to identify whether negative attitude was a predictor of psychological problems in these mothers. Methods: In this study, 112 mothers of children having mild and moderate levels of autism disorder, Down syndrome, and intellectual disability were assessed using the Parental Attitude Scale and General Health Questionnaire-28. Results: Overall, mothers of children with intellectual disability were found to have the most negative attitude towards their child. Mothers of children with autism disorder exhibited higher scores on somatic symptoms, anxiety, and social dysfunction when compared with their counterparts with Down syndrome and intellectual disability. Negative attitude was a significant predictor of psychological problems. Conclusion: Parental attitudes and psychological problems would vary among mothers of children with different types of developmental disability. © 2014 Hong Kong College of Psychiatrists.}, note = {cited By 6}, keywords = {Adult, Anxiety, Article, Attitude, Autism, Autism Spectrum Disorders, Children, Comparative Study, Depression, Developmental Disabilities, Developmental Disorders, Down Syndrome, Education, Female, General Health Questionnaire 28, Home Care, Hostility, Human, Intellectual Disability, Intellectual Impairment, Major Clinical Study, Malaysia, Male, Mental Disorders, Mother Child Relation, Mothers, Named Inventories, Parental Attitude, Parental Attitude Scale, Prevalence, Psychological Well Being, Questionnaires, Rating Scale, School Child, Social Disability}, pubstate = {published}, tppubtype = {article} } Objective: Parents' positive attitudes and psychological wellbeing play an important role in the development of the children with developmental disability. This study aimed to measure the prevalence of psychological problems among mothers of children with autism disorder, intellectual disability, and Down syndrome. The second aim was to assess the differences in mothers' attitudes and psychological problems among their children with intellectual disability, autism disorder, and Down syndrome. The third aim was to identify whether negative attitude was a predictor of psychological problems in these mothers. Methods: In this study, 112 mothers of children having mild and moderate levels of autism disorder, Down syndrome, and intellectual disability were assessed using the Parental Attitude Scale and General Health Questionnaire-28. Results: Overall, mothers of children with intellectual disability were found to have the most negative attitude towards their child. Mothers of children with autism disorder exhibited higher scores on somatic symptoms, anxiety, and social dysfunction when compared with their counterparts with Down syndrome and intellectual disability. Negative attitude was a significant predictor of psychological problems. Conclusion: Parental attitudes and psychological problems would vary among mothers of children with different types of developmental disability. © 2014 Hong Kong College of Psychiatrists. |
2013 |
Mandasari, V; Theng, L B Enhancing the acquisitionof social skills through the interactivity of multimedia Book IGI Global, 2013, ISBN: 9781466646247; 1466646233; 9781466646230, (cited By 1). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Brain Abnormalities, Developmental Disorders, Education, Effective Tool, Interactivity, Pedagogical Tools, Social Behaviour, Social Skills, Teaching @book{Mandasari201395, title = {Enhancing the acquisitionof social skills through the interactivity of multimedia}, author = {V Mandasari and L B Theng}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944882717&doi=10.4018%2f978-1-4666-4623-0.ch005&partnerID=40&md5=c37aba1d085474c73c684dda79ba7da3}, doi = {10.4018/978-1-4666-4623-0.ch005}, isbn = {9781466646247; 1466646233; 9781466646230}, year = {2013}, date = {2013-01-01}, journal = {Emerging Research and Trends in Interactivity and the Human-Computer Interface}, pages = {95-126}, publisher = {IGI Global}, abstract = {Autism Spectrum Disorders (ASD) are a group of neuro-developmental disorders caused by brain abnormalities which result in impaired social story. Research on treatment in helping children with ASD to improve social story is growing as the cases of children diagnosed with ASD are on the rise. Social story is one of the proven methods of treatment in helping children with ASD to acquire social story through scenarios written in the form of stories. However, the current approaches to present the social story lack interactivity, consuming more intensive efforts to acquire the social story. Learning is most effectual when motivated; thus, the purpose of this study is to discover a learning tool that children with ASD will be motivated to learn independently, and it is achievable by combining elements that they are interested in. This research utilizes the interactivity of multimedia as a medium to present an interactive pedagogical tool for children with ASD to acquire social story. This combination is anticipated to be an effective tool in teaching social story to children with ASD, as they are naturally drawn to computers and visual cues, combined with the fact that Social Story™ has been effective in changing the social behavior of children with ASD. Thus, this study has contributed to the emergent research of treatment for children with ASD in social story acquisition. The result of this study is important as it presents a novel assistance that can be used effectively in assisting children with ASD to improve their main deficit, social story. © 2014 by IGI Global. All rights reserved.}, note = {cited By 1}, keywords = {Autism Spectrum Disorders, Brain Abnormalities, Developmental Disorders, Education, Effective Tool, Interactivity, Pedagogical Tools, Social Behaviour, Social Skills, Teaching}, pubstate = {published}, tppubtype = {book} } Autism Spectrum Disorders (ASD) are a group of neuro-developmental disorders caused by brain abnormalities which result in impaired social story. Research on treatment in helping children with ASD to improve social story is growing as the cases of children diagnosed with ASD are on the rise. Social story is one of the proven methods of treatment in helping children with ASD to acquire social story through scenarios written in the form of stories. However, the current approaches to present the social story lack interactivity, consuming more intensive efforts to acquire the social story. Learning is most effectual when motivated; thus, the purpose of this study is to discover a learning tool that children with ASD will be motivated to learn independently, and it is achievable by combining elements that they are interested in. This research utilizes the interactivity of multimedia as a medium to present an interactive pedagogical tool for children with ASD to acquire social story. This combination is anticipated to be an effective tool in teaching social story to children with ASD, as they are naturally drawn to computers and visual cues, combined with the fact that Social Story™ has been effective in changing the social behavior of children with ASD. Thus, this study has contributed to the emergent research of treatment for children with ASD in social story acquisition. The result of this study is important as it presents a novel assistance that can be used effectively in assisting children with ASD to improve their main deficit, social story. © 2014 by IGI Global. All rights reserved. |
Hashim, H; Yussof, H; Hanapiah, F A; Shamsuddin, S; Ismail, L; Malik, N A Robot-assisted to elicit behaviors for autism screening Journal Article Applied Mechanics and Materials, 393 , pp. 567-572, 2013, ISSN: 16609336, (cited By 2). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Spectrum Disorders, Diseases, Early Intervention, Humanoid Robot, Humanoid Robot NAO, Individual Behaviour, Intervention, Mechanical Engineering, Program Diagnostics, Quantitative Measurement, Robotics, Screening Process @article{Hashim2013567, title = {Robot-assisted to elicit behaviors for autism screening}, author = {H Hashim and H Yussof and F A Hanapiah and S Shamsuddin and L Ismail and N A Malik}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886257860&doi=10.4028%2fwww.scientific.net%2fAMM.393.567&partnerID=40&md5=9ef0b91be1f79ae1771901b04e271636}, doi = {10.4028/www.scientific.net/AMM.393.567}, issn = {16609336}, year = {2013}, date = {2013-01-01}, journal = {Applied Mechanics and Materials}, volume = {393}, pages = {567-572}, abstract = {Early screening and diagnosis of Autism spectrums is essential to determine the best means of early intervention program. Since there is no sign in biological for autism, screening and assessment must focus on the behavioral deficits. Somehow screening is not a diagnosis, but a filter that picks out children for subsequent assessment. The aim of this paper is to propose and to ignite discussion concerning robotic assisted in autism screening process to enable early diagnosis and intervention. This process combines (a) selection of an autism screening tool (b) refinement of screening subscales and (c) integration of subscales with robot action. We use Gilliam Autism Rating Scale-2 (GARS-2) inversely integrated with humanoid robot Nao to produce a counter action to elicit individual behaviours for screening and diagnosis purposes. In extracting of GARS-2, we had considered the limitation and sensitivity when a robot tries to assist in the process of screening and diagnosis. Integrating robotics into innovative treatments however highlighted the need for additional rigorous empirical studies with quantitative measurement. © (2013) Trans Tech Publications, Switzerland.}, note = {cited By 2}, keywords = {Anthropomorphic Robots, Autism Spectrum Disorders, Diseases, Early Intervention, Humanoid Robot, Humanoid Robot NAO, Individual Behaviour, Intervention, Mechanical Engineering, Program Diagnostics, Quantitative Measurement, Robotics, Screening Process}, pubstate = {published}, tppubtype = {article} } Early screening and diagnosis of Autism spectrums is essential to determine the best means of early intervention program. Since there is no sign in biological for autism, screening and assessment must focus on the behavioral deficits. Somehow screening is not a diagnosis, but a filter that picks out children for subsequent assessment. The aim of this paper is to propose and to ignite discussion concerning robotic assisted in autism screening process to enable early diagnosis and intervention. This process combines (a) selection of an autism screening tool (b) refinement of screening subscales and (c) integration of subscales with robot action. We use Gilliam Autism Rating Scale-2 (GARS-2) inversely integrated with humanoid robot Nao to produce a counter action to elicit individual behaviours for screening and diagnosis purposes. In extracting of GARS-2, we had considered the limitation and sensitivity when a robot tries to assist in the process of screening and diagnosis. Integrating robotics into innovative treatments however highlighted the need for additional rigorous empirical studies with quantitative measurement. © (2013) Trans Tech Publications, Switzerland. |
Shams, W K; Wahab, A Source-temporal-features for detection EEG behavior of autism spectrum disorder Conference 2013, ISBN: 9781479901340, (cited By 1). Abstract | Links | BibTeX | Tags: ASD, Autism Spectrum Disorders, Brain Activity, Children with Autism, Classification (of information), Communication, Diseases, Electroencephalography, Electronic Document, Information Technology, Multi-Layer Perception, Temporal Features, Time Difference of Arrival @conference{Shams2013, title = {Source-temporal-features for detection EEG behavior of autism spectrum disorder}, author = {W K Shams and A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879037124&doi=10.1109%2fICT4M.2013.6518913&partnerID=40&md5=db31715811e1e8fdf62c9d61daf8e6f6}, doi = {10.1109/ICT4M.2013.6518913}, isbn = {9781479901340}, year = {2013}, date = {2013-01-01}, journal = {2013 5th International Conference on Information and Communication Technology for the Muslim World, ICT4M 2013}, abstract = {This study introduces a new model to capture the abnormal brain activity of children with Autism Spectrum Disorder (ASD) during eyes open and eyes closed resting conditions. EEG data was collected from normal subjects' ages (4 to 9) years and ASD subjects match group. Time Difference of Arrival (TDOA) approach was applied with EEG data raw for feature extracted at time domain. The neural network, Multilayer Perception (MLP) was used to distinguish between the two groups during the two tasks. Results show significant accuracy around 98% for both tasks and clearly discriminate for the features in z-dimension his electronic document is a "live" template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. © 2013 IEEE.}, note = {cited By 1}, keywords = {ASD, Autism Spectrum Disorders, Brain Activity, Children with Autism, Classification (of information), Communication, Diseases, Electroencephalography, Electronic Document, Information Technology, Multi-Layer Perception, Temporal Features, Time Difference of Arrival}, pubstate = {published}, tppubtype = {conference} } This study introduces a new model to capture the abnormal brain activity of children with Autism Spectrum Disorder (ASD) during eyes open and eyes closed resting conditions. EEG data was collected from normal subjects' ages (4 to 9) years and ASD subjects match group. Time Difference of Arrival (TDOA) approach was applied with EEG data raw for feature extracted at time domain. The neural network, Multilayer Perception (MLP) was used to distinguish between the two groups during the two tasks. Results show significant accuracy around 98% for both tasks and clearly discriminate for the features in z-dimension his electronic document is a "live" template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. © 2013 IEEE. |
Manap, A A; Dehkordi, S R; Rias, R M; Sardan, N A Atlantis Press, 2013, ISBN: 9789462520028, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Brain Development, Children with Autism, Complex Disorder, Computer Games, Computer Graphics, Computer Vision, Diseases, Education, Games, Semi Structured Interviews, Social Communications, Social Skills, Surveys, Teaching @conference{Manap201326, title = {Computer game approach focusing on social communication skills for children with Autism Spectrum Disorder: An initial study}, author = {A A Manap and S R Dehkordi and R M Rias and N A Sardan}, editor = {Soewito Bououdina B M Chen M.-S. Gaol F.L.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937138693&partnerID=40&md5=0a35258c8d4d2f61296da695c5ef765f}, isbn = {9789462520028}, year = {2013}, date = {2013-01-01}, journal = {2013 International Conference on Computer Graphics, Visualization, Computer Vision, and Game Technology, VisioGame 2013}, pages = {26-31}, publisher = {Atlantis Press}, abstract = {Autism Spectrum Disorders (ASD) and autism are both general terms for a group of complex disorders of brain development. ASD is characterized by difficulties with communication, social deficits, stereotyped or repetitive behaviours and interests. One of the major reasons behind the push to use technology and multimedia to assist interaction with children diagnosed with ASD is that they have shown a preference for, as well as a fascination with, "visual stimuli" such as computer applications, games, and videos. Primordial purpose of this study is to synthesize a survey regarding social problems and situations faced by children with autism. A number of questionnaires for parents and teachers with a semi-structured interview for five doctors and eleven therapists were conducted to identify basic problems of children with Autism and psychological methods for each problem. © 2014. The authors - Published by Atlantis Press.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Brain Development, Children with Autism, Complex Disorder, Computer Games, Computer Graphics, Computer Vision, Diseases, Education, Games, Semi Structured Interviews, Social Communications, Social Skills, Surveys, Teaching}, pubstate = {published}, tppubtype = {conference} } Autism Spectrum Disorders (ASD) and autism are both general terms for a group of complex disorders of brain development. ASD is characterized by difficulties with communication, social deficits, stereotyped or repetitive behaviours and interests. One of the major reasons behind the push to use technology and multimedia to assist interaction with children diagnosed with ASD is that they have shown a preference for, as well as a fascination with, "visual stimuli" such as computer applications, games, and videos. Primordial purpose of this study is to synthesize a survey regarding social problems and situations faced by children with autism. A number of questionnaires for parents and teachers with a semi-structured interview for five doctors and eleven therapists were conducted to identify basic problems of children with Autism and psychological methods for each problem. © 2014. The authors - Published by Atlantis Press. |
Freeth, M; Sheppard, E; Ramachandran, R; Milne, E A cross-cultural comparison of autistic traits in the UK, India and Malaysia Journal Article Journal of Autism and Developmental Disorders, 43 (11), pp. 2569-2583, 2013, ISSN: 01623257, (cited By 39). Abstract | Links | BibTeX | Tags: Adolescent, Adult, Article, Asian Continental Ancestry Group, Attention, Autism, Autism Spectrum Disorders, Autism Spectrum Quotient, Communication Skills, Comparative Study, Cross-Cultural Comparison, Cultural Factor, Ethnicity, Female, Great Britain, Human, Human Experiment, Imagination, India, Indian, Malaysia, Male, Personality, Phenotype, Postgraduate Student, Priority Journal, Psychometry, Questionnaires, Sex Factors, Social Adaptation, Spectrum, Students, Undergraduate Student, United Kingdom, Young Adult @article{Freeth20132569, title = {A cross-cultural comparison of autistic traits in the UK, India and Malaysia}, author = {M Freeth and E Sheppard and R Ramachandran and E Milne}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886802970&doi=10.1007%2fs10803-013-1808-9&partnerID=40&md5=d8acde51c0626be3862facc1d6bc493c}, doi = {10.1007/s10803-013-1808-9}, issn = {01623257}, year = {2013}, date = {2013-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {43}, number = {11}, pages = {2569-2583}, abstract = {The disorder of autism is widely recognised throughout the world. However, the diagnostic criteria and theories of autism are based on research predominantly conducted in Western cultures. Here we compare the expression of autistic traits in a sample of neurotypical individuals from one Western culture (UK) and two Eastern cultures (India and Malaysia), using the Autism-spectrum Quotient (AQ) in order to identify possible cultural differences in the expression of autistic traits. Behaviours associated with autistic traits were reported to a greater extent in the Eastern cultures than the Western culture. Males scored higher than females and science students scored higher than non-science students in each culture. Indian students scored higher than both other groups on the Imagination sub-scale, Malaysian students scored higher than both other groups on the Attention Switching sub-scale. The underlying factor structures of the AQ for each population were derived and discussed. © 2013 Springer Science+Business Media New York.}, note = {cited By 39}, keywords = {Adolescent, Adult, Article, Asian Continental Ancestry Group, Attention, Autism, Autism Spectrum Disorders, Autism Spectrum Quotient, Communication Skills, Comparative Study, Cross-Cultural Comparison, Cultural Factor, Ethnicity, Female, Great Britain, Human, Human Experiment, Imagination, India, Indian, Malaysia, Male, Personality, Phenotype, Postgraduate Student, Priority Journal, Psychometry, Questionnaires, Sex Factors, Social Adaptation, Spectrum, Students, Undergraduate Student, United Kingdom, Young Adult}, pubstate = {published}, tppubtype = {article} } The disorder of autism is widely recognised throughout the world. However, the diagnostic criteria and theories of autism are based on research predominantly conducted in Western cultures. Here we compare the expression of autistic traits in a sample of neurotypical individuals from one Western culture (UK) and two Eastern cultures (India and Malaysia), using the Autism-spectrum Quotient (AQ) in order to identify possible cultural differences in the expression of autistic traits. Behaviours associated with autistic traits were reported to a greater extent in the Eastern cultures than the Western culture. Males scored higher than females and science students scored higher than non-science students in each culture. Indian students scored higher than both other groups on the Imagination sub-scale, Malaysian students scored higher than both other groups on the Attention Switching sub-scale. The underlying factor structures of the AQ for each population were derived and discussed. © 2013 Springer Science+Business Media New York. |
2012 |
Shams, W K; Wahab, A; Qidwai, U A Fuzzy model for detection and estimation of the degree of autism spectrum disorder Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7666 LNCS (PART 4), pp. 372-379, 2012, ISSN: 03029743, (cited By 2). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Classification (of information), Data Processing, Detection and Estimation, Diseases, Early Intervention, EEG Signals, Electrophysiology, Fuzzy Approach, Fuzzy Modeling, Spectrum Energy, Subtractive Clustering, Time-Frequency Transformation, Treatment Process @article{Shams2012372, title = {Fuzzy model for detection and estimation of the degree of autism spectrum disorder}, author = {W K Shams and A Wahab and U A Qidwai}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869038189&doi=10.1007%2f978-3-642-34478-7_46&partnerID=40&md5=98929aba468010a02f652994b0da2a54}, doi = {10.1007/978-3-642-34478-7_46}, issn = {03029743}, year = {2012}, date = {2012-01-01}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {7666 LNCS}, number = {PART 4}, pages = {372-379}, abstract = {Early detection of autism spectrum disorder (ASD) is of great significance for early intervention. Besides, knowing the degree of severity in ASD and how it changes with the intervention is imperative for the treatment process. This study proposes Takagi- Sugeno-Kang (TSK) fuzzy modeling approach that is based on subtractive clustering to classify autism spectrum disorder and to estimate the degree of prognosis. The study has been carried out using Electroencephalography (EEG) signal on two groups of control and ASD children age-matched between seven to nine years old. EEG signals are quantized to temporal-time domain using Short Time Frequency Transformation (STFT). Spectrum energy is extracted as features for alpha band. The proposed system is modeled to estimate the degree in which subject is autistic, normal or uncertain. The results show accuracy in range (70-97) % when using fuzzy model .Also this system is modeled to generate crisp decision; the results show accuracy in the range (80-100) %. The proposed model can be adapted to help psychiatrist for diagnosis and intervention process. © 2012 Springer-Verlag.}, note = {cited By 2}, keywords = {Autism Spectrum Disorders, Classification (of information), Data Processing, Detection and Estimation, Diseases, Early Intervention, EEG Signals, Electrophysiology, Fuzzy Approach, Fuzzy Modeling, Spectrum Energy, Subtractive Clustering, Time-Frequency Transformation, Treatment Process}, pubstate = {published}, tppubtype = {article} } Early detection of autism spectrum disorder (ASD) is of great significance for early intervention. Besides, knowing the degree of severity in ASD and how it changes with the intervention is imperative for the treatment process. This study proposes Takagi- Sugeno-Kang (TSK) fuzzy modeling approach that is based on subtractive clustering to classify autism spectrum disorder and to estimate the degree of prognosis. The study has been carried out using Electroencephalography (EEG) signal on two groups of control and ASD children age-matched between seven to nine years old. EEG signals are quantized to temporal-time domain using Short Time Frequency Transformation (STFT). Spectrum energy is extracted as features for alpha band. The proposed system is modeled to estimate the degree in which subject is autistic, normal or uncertain. The results show accuracy in range (70-97) % when using fuzzy model .Also this system is modeled to generate crisp decision; the results show accuracy in the range (80-100) %. The proposed model can be adapted to help psychiatrist for diagnosis and intervention process. © 2012 Springer-Verlag. |
Shamsuddin, S; Yussof, H; Ismail, L; Hanapiah, F A; Mohamed, S; Piah, H A; Zahari, N I Initial response of autistic children in human-robot interaction therapy with humanoid robot NAO Conference 2012, ISBN: 9781467309615, (cited By 103). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Spectrum Disorders, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Human Computer Interaction, Human Robot Interaction, Humanoid Robot, Man Machine Systems, Pilot Experiment, Rehabilitation Robotics, Research, Robotics, Signal Processing, Visual Systems @conference{Shamsuddin2012188, title = {Initial response of autistic children in human-robot interaction therapy with humanoid robot NAO}, author = {S Shamsuddin and H Yussof and L Ismail and F A Hanapiah and S Mohamed and H A Piah and N I Zahari}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861537641&doi=10.1109%2fCSPA.2012.6194716&partnerID=40&md5=32572eb3ebc7d201c02a90908128ae28}, doi = {10.1109/CSPA.2012.6194716}, isbn = {9781467309615}, year = {2012}, date = {2012-01-01}, journal = {Proceedings - 2012 IEEE 8th International Colloquium on Signal Processing and Its Applications, CSPA 2012}, pages = {188-193}, abstract = {The overall context proposed in this paper is part of our long-standing goal to contribute to a group of community that suffers from Autism Spectrum Disorder (ASD); a lifelong developmental disability. The objective of this paper is to present the development of our pilot experiment protocol where children with ASD will be exposed to the humanoid robot NAO. This fully programmable humanoid offers an ideal research platform for human-robot interaction (HRI). This study serves as the platform for fundamental investigation to observe the initial response and behavior of the children in the said environment. The system utilizes external cameras, besides the robot's own visual system. Anticipated results are the real initial response and reaction of ASD children during the HRI with the humanoid robot. This shall leads to adaptation of new procedures in ASD therapy based on HRI, especially for a non-technical-expert person to be involved in the robotics intervention during the therapy session. © 2012 IEEE.}, note = {cited By 103}, keywords = {Anthropomorphic Robots, Autism Spectrum Disorders, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Human Computer Interaction, Human Robot Interaction, Humanoid Robot, Man Machine Systems, Pilot Experiment, Rehabilitation Robotics, Research, Robotics, Signal Processing, Visual Systems}, pubstate = {published}, tppubtype = {conference} } The overall context proposed in this paper is part of our long-standing goal to contribute to a group of community that suffers from Autism Spectrum Disorder (ASD); a lifelong developmental disability. The objective of this paper is to present the development of our pilot experiment protocol where children with ASD will be exposed to the humanoid robot NAO. This fully programmable humanoid offers an ideal research platform for human-robot interaction (HRI). This study serves as the platform for fundamental investigation to observe the initial response and behavior of the children in the said environment. The system utilizes external cameras, besides the robot's own visual system. Anticipated results are the real initial response and reaction of ASD children during the HRI with the humanoid robot. This shall leads to adaptation of new procedures in ASD therapy based on HRI, especially for a non-technical-expert person to be involved in the robotics intervention during the therapy session. © 2012 IEEE. |
2011 |
Ismail, L; Shamsuddin, S; Yussof, H; Hashim, H; Bahari, S; Jaafar, A; Zahari, I Face detection technique of Humanoid Robot NAO for application in robotic assistive therapy Conference 2011, ISBN: 9781457716423, (cited By 14). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Assistive, Autism Spectrum Disorders, Autistic Children, Cameras, Children with Autism, Communication, Concentration Levels, Control Systems, Cutting Edges, Detection Tools, Developmental Disorders, Diseases, Face Detection, Face Recognition, Graphical User Interfaces, Humanoid Robot, Robotics, Social Interactions @conference{Ismail2011517, title = {Face detection technique of Humanoid Robot NAO for application in robotic assistive therapy}, author = {L Ismail and S Shamsuddin and H Yussof and H Hashim and S Bahari and A Jaafar and I Zahari}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862067305&doi=10.1109%2fICCSCE.2011.6190580&partnerID=40&md5=954caf63c5c5f7f05062436598a32a91}, doi = {10.1109/ICCSCE.2011.6190580}, isbn = {9781457716423}, year = {2011}, date = {2011-01-01}, journal = {Proceedings - 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011}, pages = {517-521}, abstract = {This paper proposed a face detection method for tracking the faces of children with Autism Spectrum Disorder in a robotic assistive therapy. The face detection is a novel approach in robotic assistive therapy involving autistic children since it is believe that those children will positively react with high-end devices, gadget and cutting edge devices. The intention of tracking the autistic children's faces is to measure the concentration level of the children in social interaction and communication since everyone knows that those children are suffering from communication disabilities and deficits due to brain developmental disorder. Humanoid Robot Nao with 573.2mm height equipped with 2 internal cameras is utilized for this research. The face detection tools in choregraphe and telepathe based on Graphical User Interface (GUI) module is used in this study. The non-verbal interaction between humanoid robot and autistic children is recorded by using 2 internal cameras from the robot's head. The interaction is going to take about 30 minutes and supervised by occupational therapist and certified psychologist. The autistic children will be introduced to the Humanoid Robot Nao and their reaction will be recorded simultaneously while the robot is trying to track their faces. © 2011 IEEE.}, note = {cited By 14}, keywords = {Anthropomorphic Robots, Assistive, Autism Spectrum Disorders, Autistic Children, Cameras, Children with Autism, Communication, Concentration Levels, Control Systems, Cutting Edges, Detection Tools, Developmental Disorders, Diseases, Face Detection, Face Recognition, Graphical User Interfaces, Humanoid Robot, Robotics, Social Interactions}, pubstate = {published}, tppubtype = {conference} } This paper proposed a face detection method for tracking the faces of children with Autism Spectrum Disorder in a robotic assistive therapy. The face detection is a novel approach in robotic assistive therapy involving autistic children since it is believe that those children will positively react with high-end devices, gadget and cutting edge devices. The intention of tracking the autistic children's faces is to measure the concentration level of the children in social interaction and communication since everyone knows that those children are suffering from communication disabilities and deficits due to brain developmental disorder. Humanoid Robot Nao with 573.2mm height equipped with 2 internal cameras is utilized for this research. The face detection tools in choregraphe and telepathe based on Graphical User Interface (GUI) module is used in this study. The non-verbal interaction between humanoid robot and autistic children is recorded by using 2 internal cameras from the robot's head. The interaction is going to take about 30 minutes and supervised by occupational therapist and certified psychologist. The autistic children will be introduced to the Humanoid Robot Nao and their reaction will be recorded simultaneously while the robot is trying to track their faces. © 2011 IEEE. |
2010 |
Othman, M; Wahab, A Affective face processing analysis in autism using electroencephalogram Conference 2010, ISBN: 9789791948913, (cited By 7). Abstract | Links | BibTeX | Tags: Affective Face Processing, Analysis Results, Autism Spectrum Disorders, Brain Wave, Diseases, Electroencephalogram, Electroencephalography, Emotion, Emotion Models, Eye Contact, Facial Expression, Human Emotion, Information Technology @conference{Othman2010, title = {Affective face processing analysis in autism using electroencephalogram}, author = {M Othman and A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052372671&doi=10.1109%2fICT4M.2010.5971907&partnerID=40&md5=4d5f8a317d6a9c93e1ab7186a9b99b52}, doi = {10.1109/ICT4M.2010.5971907}, isbn = {9789791948913}, year = {2010}, date = {2010-01-01}, journal = {Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010}, pages = {E23-E27}, abstract = {Past research in the area of psychology has indicated the inability of Autism Spectrum Disorder (ASD) patients for interpreting other people's emotion. This impairment is due to their lack of social motivation and eye contact during communication, causing insufficient information to the brain for interpreting emotional faces. This paper investigates human brainwaves for understanding affective face processing of ASD children. Pattern classification results are explained based on the 2-dimensional emotion model. The 2-dimensional model explains human emotion in terms of the pleasant/ unpleasantness (or valence) and intensity (or arousal). Analysis results revealed that emotion of the non-autistic group is altered towards matching the affective faces currently displayed on the computer monitor. Emotion dynamics of ASD children, however, indicated the trend for reversed valence while watching emotionally related facial expressions. © 2010 IEEE.}, note = {cited By 7}, keywords = {Affective Face Processing, Analysis Results, Autism Spectrum Disorders, Brain Wave, Diseases, Electroencephalogram, Electroencephalography, Emotion, Emotion Models, Eye Contact, Facial Expression, Human Emotion, Information Technology}, pubstate = {published}, tppubtype = {conference} } Past research in the area of psychology has indicated the inability of Autism Spectrum Disorder (ASD) patients for interpreting other people's emotion. This impairment is due to their lack of social motivation and eye contact during communication, causing insufficient information to the brain for interpreting emotional faces. This paper investigates human brainwaves for understanding affective face processing of ASD children. Pattern classification results are explained based on the 2-dimensional emotion model. The 2-dimensional model explains human emotion in terms of the pleasant/ unpleasantness (or valence) and intensity (or arousal). Analysis results revealed that emotion of the non-autistic group is altered towards matching the affective faces currently displayed on the computer monitor. Emotion dynamics of ASD children, however, indicated the trend for reversed valence while watching emotionally related facial expressions. © 2010 IEEE. |
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. |
Sheppard, E; Ropar, D; Underwood, G; Loon, Van E Brief report: Driving hazard perception in autism Journal Article Journal of Autism and Developmental Disorders, 40 (4), pp. 504-508, 2010, ISSN: 01623257, (cited By 42). Abstract | Links | BibTeX | Tags: Adolescent, Adult, Article, Association, Autism, Autism Spectrum Disorders, Automobile Driving, Car Driving, Case-Control Studies, Clinical Article, Controlled Study, Hazard Assessment, Human, Information Processing, Intelligence Quotient, Male, Mental Health, Motor Dysfunction, Neuropsychological Tests, Perception, Photic Stimulation, Priority Journal, Reaction Time, Social Perception, Traffic Accident, Traffic Safety, Visual Impairment, Visual Perception, Visual Stimulation, Young Adult @article{Sheppard2010504, title = {Brief report: Driving hazard perception in autism}, author = {E Sheppard and D Ropar and G Underwood and E Van Loon}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954458984&doi=10.1007%2fs10803-009-0890-5&partnerID=40&md5=f0036a737ebb461359baf1bd8b388b23}, doi = {10.1007/s10803-009-0890-5}, issn = {01623257}, year = {2010}, date = {2010-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {40}, number = {4}, pages = {504-508}, abstract = {This study investigated whether individuals with ASD (autistic spectrum disorders) are able to identify driving hazards, given their difficulties processing social information, Klin et al. (Archives of General Psychiatry 59: 809-816, 2002). Twenty-three adult males with ASD and 21 comparison participants viewed 10 video clips containing driving hazards. In half of the clips the source of the hazard was a visible person (social); in the other half the source was a car (non-social). Participants with ASD identified fewer social hazards than the comparison participants (U = 163.00}, note = {cited By 42}, keywords = {Adolescent, Adult, Article, Association, Autism, Autism Spectrum Disorders, Automobile Driving, Car Driving, Case-Control Studies, Clinical Article, Controlled Study, Hazard Assessment, Human, Information Processing, Intelligence Quotient, Male, Mental Health, Motor Dysfunction, Neuropsychological Tests, Perception, Photic Stimulation, Priority Journal, Reaction Time, Social Perception, Traffic Accident, Traffic Safety, Visual Impairment, Visual Perception, Visual Stimulation, Young Adult}, pubstate = {published}, tppubtype = {article} } This study investigated whether individuals with ASD (autistic spectrum disorders) are able to identify driving hazards, given their difficulties processing social information, Klin et al. (Archives of General Psychiatry 59: 809-816, 2002). Twenty-three adult males with ASD and 21 comparison participants viewed 10 video clips containing driving hazards. In half of the clips the source of the hazard was a visible person (social); in the other half the source was a car (non-social). Participants with ASD identified fewer social hazards than the comparison participants (U = 163.00 |
2005 |
Jayachandra, S Is secretin effective in treatment for Autism Spectrum Disorders (ASD)? Journal Article International Journal of Psychiatry in Medicine, 35 (1), pp. 99-101, 2005, ISSN: 00912174, (cited By 2). Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Children, Clinical Trial, Drug Effect, Drug Efficacy, Drug Mechanism, Gastrointestinal Symptom, Human, Hypersensitivity, Injections, Intravenous, Letter, Secretin, Treatment Outcome @article{Jayachandra200599, title = {Is secretin effective in treatment for Autism Spectrum Disorders (ASD)?}, author = {S Jayachandra}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-23044481281&doi=10.2190%2fQ1D2-5DNB-V4FJ-J9M5&partnerID=40&md5=791bd90c9cdaa7b82bc5d7e8b8c5a7de}, doi = {10.2190/Q1D2-5DNB-V4FJ-J9M5}, issn = {00912174}, year = {2005}, date = {2005-01-01}, journal = {International Journal of Psychiatry in Medicine}, volume = {35}, number = {1}, pages = {99-101}, note = {cited By 2}, keywords = {Autism, Autism Spectrum Disorders, Children, Clinical Trial, Drug Effect, Drug Efficacy, Drug Mechanism, Gastrointestinal Symptom, Human, Hypersensitivity, Injections, Intravenous, Letter, Secretin, Treatment Outcome}, pubstate = {published}, tppubtype = {article} } |
Jayachandra, S Need for internet based scoring system for autism treatment evaluation [2] Journal Article Journal of Autism and Developmental Disorders, 35 (5), pp. 685, 2005, ISSN: 01623257, (cited By 1). Links | BibTeX | Tags: Asperger Syndrome, Autism, Autism Spectrum Disorders, Diagnostic and Statistical Manual of Mental Disorders, Evaluation, Health Service, Health Services Needs and Demand, Human, Infant, Infantile Autism, Instrumentation, Internet, Letter, Priority Journal, Psychoeducation, Psychotherapy, Reliability, Scoring System, Treatment Outcome @article{Jayachandra2005685, title = {Need for internet based scoring system for autism treatment evaluation [2]}, author = {S Jayachandra}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33644946467&doi=10.1007%2fs10803-005-0016-7&partnerID=40&md5=6d3e95280dce87a6ec735d67e27fe5bc}, doi = {10.1007/s10803-005-0016-7}, issn = {01623257}, year = {2005}, date = {2005-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {35}, number = {5}, pages = {685}, publisher = {Springer Science and Business Media Deutschland GmbH}, note = {cited By 1}, keywords = {Asperger Syndrome, Autism, Autism Spectrum Disorders, Diagnostic and Statistical Manual of Mental Disorders, Evaluation, Health Service, Health Services Needs and Demand, Human, Infant, Infantile Autism, Instrumentation, Internet, Letter, Priority Journal, Psychoeducation, Psychotherapy, Reliability, Scoring System, Treatment Outcome}, pubstate = {published}, tppubtype = {article} } |
1995 |
Kasmini, K; Zasmani, S Asperger's syndrome: a report of two cases from Malaysia. Journal Article Singapore medical journal, 36 (6), pp. 641-643, 1995, ISSN: 00375675, (cited By 2). Abstract | Links | BibTeX | Tags: Article, Autism, Autism Spectrum Disorders, Case Report, Child Development Disorders, Children, Classification (of information), Human, Language Development Disorders, Language Disability, Malaysia, Male, Pervasive, Psychiatric Status Rating Scales, Psychological Aspect, Psychological Rating Scale, Social Behaviour, Stereotyped Behaviour, Stereotypy, Syndrome @article{Kasmini1995641, title = {Asperger's syndrome: a report of two cases from Malaysia.}, author = {K Kasmini and S Zasmani}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0029445569&partnerID=40&md5=6280382e5c679f84eea178a916b2e19f}, issn = {00375675}, year = {1995}, date = {1995-01-01}, journal = {Singapore medical journal}, volume = {36}, number = {6}, pages = {641-643}, abstract = {Asperger's Syndrome is a distinct variant of autism, with a prevalence rate of 10 to 26 per 10,000 of normal intelligence, and 0.4 per 10,000 in those with mild mental retardation. The syndrome now has its own clinical entity and diagnostic criteria. It is being officially listed in the ICD-10 under pervasive developmental disorder. Two such cases are described in this article. Case One lacked the ability to relate to others, was excessively preoccupied with the late actor P. Ramlee and demonstrated a peculiar behaviour of holding on to toothbrushes in his early childhood. Cognitively, he was unable to synthesise words into meaningful sentences. Similarly, Case Two was unable to relate well to others and was preoccupied with the planets and its constellations. Though he appeared intelligent with an IQ score of 101, he was unable to follow instructions at school. Both children had motor clumsiness and fulfilled the criteria for the diagnosis of Asperger's Syndrome.}, note = {cited By 2}, keywords = {Article, Autism, Autism Spectrum Disorders, Case Report, Child Development Disorders, Children, Classification (of information), Human, Language Development Disorders, Language Disability, Malaysia, Male, Pervasive, Psychiatric Status Rating Scales, Psychological Aspect, Psychological Rating Scale, Social Behaviour, Stereotyped Behaviour, Stereotypy, Syndrome}, pubstate = {published}, tppubtype = {article} } Asperger's Syndrome is a distinct variant of autism, with a prevalence rate of 10 to 26 per 10,000 of normal intelligence, and 0.4 per 10,000 in those with mild mental retardation. The syndrome now has its own clinical entity and diagnostic criteria. It is being officially listed in the ICD-10 under pervasive developmental disorder. Two such cases are described in this article. Case One lacked the ability to relate to others, was excessively preoccupied with the late actor P. Ramlee and demonstrated a peculiar behaviour of holding on to toothbrushes in his early childhood. Cognitively, he was unable to synthesise words into meaningful sentences. Similarly, Case Two was unable to relate well to others and was preoccupied with the planets and its constellations. Though he appeared intelligent with an IQ score of 101, he was unable to follow instructions at school. Both children had motor clumsiness and fulfilled the criteria for the diagnosis of Asperger's Syndrome. |