Publication Type : Journal Article
Publisher : Journal of Intelligent and Fuzzy Systems, IOS Press
Source : Journal of Intelligent and Fuzzy Systems, IOS Press, Volume 35, Number 2, p.1459-1469 (2018)
Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053354883&doi=10.3233%2fJIFS-169687&partnerID=40&md5=1bec5bbae31b7c15076160abd75a231f
Keywords : Autism, Autism spectrum disorders, Autistic children, Behavioral changes, Communication skills, Diseases, Eye Tracking, Fuzzy systems, Performance level, Vision, Visual perception, Visual tasks
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2018
Abstract : The general characteristics observed in Autism is decrease in communication skill, interaction and shows behavioral changes. The reasons for these can be studied by understanding their visual sensory processing. The research work presented here uses image stimuli to study the behavior in children by understanding when and where they look. A Fuzzy based Eye Gaze Point estimation (FEGP) has been proposed which observes the gaze coordinates of the child, analyze the eye gaze parameters to assess the difference in visual perception of an autistic child in comparison to a normal child. The approach helps to identify the visual behavior difference in autistic children with a performance level indicator, visualization and inferences that can be used to tune their learning programs with an attempt to meet their counterparts.
Cite this Research Publication : Amudha J. and Nandakumar, H., “A fuzzy based eye gaze point estimation approach to study the task behavior in autism spectrum disorder”, Journal of Intelligent and Fuzzy Systems, vol. 35, pp. 1459-1469, 2018.