Research Progress of Emotion Recognition Based on Electroencephalogram Signals
Emotion is the subjective experience and corresponding behavioral response of people's attitude towards objective external things,which reflects the relationship between the subject's needs and objective external things.Electroencephalogram signals are closely related to brain activity,so the emotional changes of subjects can be judged by electroencephalogram signals.Meanwhile,there are increasing research on emotion recognition using traditional machine learning and deep learning algorithms.This paper introduced the emotion model,data set and commonly used machine learning and deep learning algorithms in recent years,and summarized the recent research progress on emotion recognition,so as to provide a quickly understanding of this field for beginners and serve as reference for subsequent research.
国家科技期刊平台
NSTL
万方数据
维普
