MULTI-FEATURE FUSION EMOTION RECOGNITION BASED ON RESTING EEG

• Published in: Journal of mechanics in medicine and biology Vol. 22; no. 3
• Main Authors: ZHANG, JUN-AN, GU, LIPING, CHEN, YONGQIANG, ZHU, GENG, OU, LANG, WANG, LIYAN, LI, XIAOOU, ZHONG, LICHANG
• Format: Journal Article
• Language: English
• Published: Singapore World Scientific Publishing Company 01.04.2022; World Scientific Publishing Co. Pte., Ltd
• Subjects: Cluster analysis; Clustering; Correlation coefficients; Electroencephalography; Emotion recognition; Emotions; Feature extraction; Feature recognition; Human-computer interface; Machine learning; Signal processing; Vector quantization; Multi-feature fusion; EEG signals; machine learning; cluster analysis; emotion recognition; resting-state

An important task of brain–computer interface (BCI) research is to read or decode mental content from a large number of electroencephalographic (EEG) signals, which is an exciting, attractive, and challenging goal. In this paper, resting EEG data are collected from spontaneous EEG, and 16 random fea...