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Aarya-A Kinesthetic companion for children with Autism Spectrum Disorder

Publication Type : Journal Article

Publisher : Journal of Intelligent and Fuzzy Systems, IOS Press

Source : Journal of Intelligent and Fuzzy Systems, IOS Press, Volume 32, Issue 4, p.2971-2976 (2017)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016779119&doi=10.3233%2fJIFS-169240&partnerID=40&md5=8b9a4736b24fed87e674f1598c06f68f

Keywords : Autism, Autism spectrum disorders, Diseases, Education, Gesture-based interface, Intelligent systems, kinect, Kinect2Scratch, Real world environments, Real world situations, Social interactions, Social sciences, Soft computing, Virtual reality

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Year : 2017

Abstract : Autism Spectrum Disorder (ASD) is defined as a condition or disorder that begins in childhood and that causes problems in establishing relationships and communicating with other people. Aarya works as a personal well-being companion to children with Autism Spectrum Disorder while they interact with a virtual environment that is gesture based. By making an ASD affected child face real world situations, we try to improve his/her confidence in facing the world and being open to learning various skills. Social interaction and communication are the major challenges faced by children with ASD. In Aarya, we use gesture-based interface that is the Microsoft Kinect so that the child can find it easier to interact in the real world environment. Through the interactions made with the children and the results obtained, we understand that this tool can be a companion while giving chance for growth and improving their interacting ability. With further refinement and expert inputs, this tool can be built better. © 2017-IOS Press and the authors. All rights reserved.

Cite this Research Publication : R. Sreedasyam, Rao, A., Sachidanandan, N., Nalini S., and Dr. Shriram K Vasudevan, “Aarya-A Kinesthetic companion for children with Autism Spectrum Disorder”, Journal of Intelligent and Fuzzy Systems, vol. 32, pp. 2971-2976, 2016.

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