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Issue title: Special Section: Ambient advancements in intelligent computational sciences
Guest editors: Shailesh Tiwari, Munesh Trivedi and Mohan L. Kohle
Article type: Research Article
Authors: Amudha, J.a; * | Nandakumar, Hithab
Affiliations: [a] Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India | [b] Optym, Bangalore, Karnataka, India
Correspondence: [*] Corresponding author. J. Amudha, Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. E-mail: j_amudha@blr.amrita.edu.
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.
Keywords: Autism, fuzzy system, visual perception, cognitive visual task, eye tracking
DOI: 10.3233/JIFS-169687
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1459-1469, 2018
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