Open AccessFacial Emotion Recognition for Autism Children
Author(s) -
K. Premkumar*,
K. Murugapriya,
M.R. Varsha,
R. Asmitha,
S. Sureka
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3772.059720
Subject(s) - facial expression , autism , emotion recognition , psychology , autism spectrum disorder , facial expression recognition , python (programming language) , face (sociological concept) , emotion detection , cognitive psychology , facial recognition system , developmental psychology , computer science , pattern recognition (psychology) , communication , linguistics , philosophy , neuroscience , operating system
Nowadays Autism children find it difficult to interact socially with people emotions and make themselves isolated. This paper proposes Emotion detection for Autism spectrum disorder children (ASD). It is self-possessed of python libraries Open CV, Haar-cascade method and Age and gender prediction. Conversely, most existing methods rely on the detection of facial expressions of people in social media platforms such as snapchat use facial recognition technology and also detecting facial emotions from their Facial expressions in image. And for a better involvement of the children’s social behaviour, here a face is captured in real time and age, gender and emotions are predicted by Facial expression recognition (FER). This proposed system helps to improve the Autism children behaviour as they often observe the facial expressions of humans and try to imitate their emotions which make a huge difference in their behaviour.