Electroencephalography Emotion Recognition Based on Rhythm Information Entropy Extraction

• Published in: Journal of advanced computational intelligence and intelligent informatics Vol. 28; no. 5; pp. 1095 - 1106
• Main Authors: Liu, Zhen-Tao, Xu, Xin, She, Jinhua, Yang, Zhaohui, Chen, Dan
• Format: Journal Article
• Language: English
• Published: Tokyo Fuji Technology Press Co. Ltd 01.09.2024
• Subjects: Arousal; Brain; Central nervous system; Channels; Classification; Decomposition; Electroencephalography; Emotion recognition; Emotional factors; Emotions; Entropy; Entropy (Information theory); Feature recognition; Rhythm
• ISSN: 1343-0130; 1883-8014
• DOI: 10.20965/jaciii.2024.p1095

Electroencephalography (EEG) is a physiological signal directly generated by the central nervous system. Brain rhythm is closely related to a person’s emotional state and is widely used for EEG emotion recognition. In previous studies, the rhythm specificity between different brain channels was seld...