Year: 2023
Type: preprint
Abstract: Facial expression recognition is very important for computer interacting with human. In this paper, the intelligent decision framework based on deep learning is proposed to improve the accuracy of facial expression recognition, which employs three channels to extract different complementary deep features. Each channel has the combination of different convolution layers and MaxPool layers and alleviating the gradient disappearance problem by residual network to obtain the possible expression. Finally, the results of three channels are employed to obtain the final facial expression by the intelligent decision function. Experiments on the public datasets of Fer2013 and Afew5.0 show the effective results.
Source: Research Square
Author: Xianzhang Pan
Institutions: Taizhou University, Taizhou University
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4390113656