Review on Emotion Recognition Based on Electroencephalography

被引:52
|
作者
Liu, Haoran [1 ]
Zhang, Ying [2 ]
Li, Yujun [1 ]
Kong, Xiangyi [1 ]
机构
[1] Boiler & Pressure Vessel Safety Inspect Inst Hena, Zhengzhou, Peoples R China
[2] CNIPA, Patent Examinat Cooperat Henan Ctr Patent Off, Zhengzhou, Peoples R China
关键词
emotion recognition; EEG; convolution neural network; DEAP; SEED; DREAMER; OCULAR ARTIFACTS; EEG; CLASSIFICATION;
D O I
10.3389/fncom.2021.758212
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Emotions are closely related to human behavior, family, and society. Changes in emotions can cause differences in electroencephalography (EEG) signals, which show different emotional states and are not easy to disguise. EEG-based emotion recognition has been widely used in human-computer interaction, medical diagnosis, military, and other fields. In this paper, we describe the common steps of an emotion recognition algorithm based on EEG from data acquisition, preprocessing, feature extraction, feature selection to classifier. Then, we review the existing EEG-based emotional recognition methods, as well as assess their classification effect. This paper will help researchers quickly understand the basic theory of emotion recognition and provide references for the future development of EEG. Moreover, emotion is an important representation of safety psychology.
引用
收藏
页数:15
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