A Review of Emotion Recognition Based on EEG Signals |Biomedgrid
Journal: American Journal of Biomedical Science & Research (Vol.16, No. 4)Publication Date: 2022-06-06
Authors : Zhengping Li; Hongsheng Xia; Lijun Wang;
Page : 472-474
Keywords : Emotion recognition; EEG signal; Emotion model; Signal features; Dataset;
Abstract
Emotion is a high-level response of the brain, and it is a psychological and physiological state that people show to objective things. In the research of brain science, emotion recognition is an important direction, and its results can be applied in the fields of human-computer interaction, psychological counseling, education, and learning. This paper describes the existing emotional models, introduces the characteristics of EEG signals commonly used in the field of emotion recognition research, mainly from four aspects: time domain, frequency domain, time-frequency domain and spatial domain, counts the commonly used EEG signal emotion recognition data sets, and finally summarize and discuss future research directions.
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