Open AccessA facial expression recognizer using modified ResNet-152
Author(s) -
Wenle Xu,
Rayan S Cloutier
Publication year - 2022
Publication title -
eai endorsed transactions on internet of things
Language(s) - English
Resource type - Journals
ISSN - 2414-1399
DOI - 10.4108/eetiot.v7i28.685
Subject(s) - facial expression recognition , computer science , facial expression , speech recognition , expression (computer science) , artificial intelligence , residual neural network , emotion recognition , facial recognition system , mainstream , pattern recognition (psychology) , deep learning , philosophy , theology , programming language
In this age of artificial intelligence, facial expression recognition is an essential pool to describe emotion and psychology. In recent studies, many researchers have not achieved satisfactory results. This paper proposed an expression recognition system based on ResNet-152. Statistical analysis showed our method achieved 96.44% accuracy. Comparative experiments show that the model is better than mainstream models. In addition, we briefly described the application of facial expression recognition technology in the IoT (Internet of things).