1. A facial expression recognizer using modified ResNet-152
- Author
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Wenle Xu and Rayan S Cloutier
- Subjects
Facial expression recognition ,ResNet-152 ,Recognition system ,Computer engineering. Computer hardware ,TK7885-7895 ,Industrial engineering. Management engineering ,T55.4-60.8 - Abstract
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).
- Published
- 2022
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