Emotion recognition using spatial-temporal EEG features through convolutional graph attention network

• Published in: Journal of neural engineering Vol. 20; no. 1; pp. 16046 - 16057
• Main Authors: Li, Zhongjie, Zhang, Gaoyan, Wang, Longbiao, Wei, Jianguo, Dang, Jianwu
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 01.02.2023
• Subjects: Artificial Intelligence; Brain; brain functional connectivity; brain–computer interaction (BCI); convolutional graph attention network; EEG; Electroencephalography; emotion recognition; Emotions; Humans; Recognition, Psychology; brain–computer interaction (BCI); convolutional graph attention network; brain functional connectivity; emotion recognition; EEG

Objective. Constructing an efficient human emotion recognition model based on electroencephalogram (EEG) signals is significant for realizing emotional brain–computer interaction and improving machine intelligence. Approach. In this paper, we present a spatial-temporal feature fused convolutional gr...