Publication Type : Conference Paper
Publisher : 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)
Source : 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), IEEE, Kollam, India (2017)
Url : https://ieeexplore.ieee.org/document/8397220
Keywords : Cameras, Emotion recognition, face, Machine learning, Medical treatment, Real-time systems, Robots
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Center : Computer Vision and Robotics, Wind Energy Center
Department : Computer Science, Sciences
Verified : No
Year : 2017
Abstract : The Autistic Spectrum Disorder (ASD) is a certain kind of condition characterized by difficulty in social communication, social relationship, and imagination. This condition mainly affects children. The earlier intervention in ASD can help the individual to improve the social skills through Autistic therapies. The robot-assisted therapy is an emerging field in which a special type of robot called social robot is used to interact with ASD individual. These robots have social and communicative skills that can influence the ASD individual. Understanding the emotional state of ASD individual will help in providing appropriate therapy to the individual. This paper discusses emotion recognition technique to be used in a social robot using deep learning techniques. This emotion recognition technique can work in real time to predict the behavior of ASD children.
Cite this Research Publication : L. Joseph, Pramod, S., and Lekha S. Nair, “Emotion recognition in a social robot for robot-assisted therapy to autistic treatment using deep learning”, in 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), Kollam, India, 2017