中国医疗设备2024，Vol.39Issue(5)：162-168,7.DOI:10.3969/j.issn.1674-1633.2024.05.027
基于脑电信号的情绪识别研究进展
Research Progress of Emotion Recognition Based on Electroencephalogram Signals
摘要
Abstract
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.关键词
脑电信号/情绪识别/机器学习/深度学习Key words
electroencephalogram signals/emotion recognition/machine learning/deep learning分类
医药卫生引用本文复制引用
张晓,张魁星,李延军..基于脑电信号的情绪识别研究进展[J].中国医疗设备,2024,39(5):162-168,7.基金项目
山东省中医药科技项目(Q-2022052) （Q-2022052）
山东省研究生教育优质课程建设项目(SDYKC19148 （）
ADYAL18030). （）
