Open AccessAutism Spectrum Disorder Therapy: Analysis of Artificial Intelligence integrated Robotic Approach
Author(s) -
Ananya Ananth Rao,
Shaun Qien Yeau Tan,
R. Raghavi,
Archit Srivastava,
C. H. Renumadhavi
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2161/1/012038
Subject(s) - autism spectrum disorder , field (mathematics) , artificial intelligence , process (computing) , applied behavior analysis , computer science , inclusion (mineral) , robotics , autism , robot , psychology , developmental psychology , social psychology , mathematics , pure mathematics , operating system
Autism Spectrum Disorder is a developmental disorder that may manifest in a myriad of ways such as difficulties in social interaction and a tendency to engage in repetitive patterns of behaviour. Over the years, several kinds of treatment protocols have been proposed and implemented. One such area that is attracting the attention of researchers in the field is a robot-based approach in the treatment of children diagnosed with the disorder. Here we propose a viable method via the integration of apex technological methods like Artificial Intelligence, Machine Learning and Medical Robotics, coupling it with problem specific algorithms in OpenCV along with principles of Applied Behavioural Analysis to help possibly alleviate a key symptom displayed by children in terms of level of social interaction - that of eye-contact. This would be achieved via an AI-integrated Robotic Framework. The project also considers the possibility of inclusion of the growing research field of Quantum Computing to realize the process and investigates its viability as a potential source of innovation in the future.