Exploration of effective electroencephalography features for the recognition of different valence emotions

• Published in: Frontiers in neuroscience Vol. 16; p. 1010951
• Main Authors: Yang, Kai, Tong, Li, Zeng, Ying, Lu, Runnan, Zhang, Rongkai, Gao, Yuanlong, Yan, Bin
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Research Foundation 17.10.2022; Frontiers Media S.A
• Subjects: Asymmetry; Brain research; Classification; Cognition & reasoning; Cognitive ability; Datasets; EEG; Electrodes; Electroencephalography; emotion recognition; emotion valence; Emotions; Entropy; Experiments; feature extraction; feature selection; Frequency dependence; Memory; Neuroscience

Recent studies have shown that the recognition and monitoring of different valence emotions can effectively avoid the occurrence of human errors due to the decline in cognitive ability. The quality of features directly affects emotion recognition results, so this manuscript explores the effective el...