A Portable and Affordable Four-Channel EEG System for Emotion Recognition with Self-Supervised Feature Learning

Emotions play a pivotal role in shaping human decision-making, behavior, and physiological well-being. Electroencephalography (EEG)-based emotion recognition offers promising avenues for real-time self-monitoring and affective computing applications. However, existing commercial solutions are often...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Hao Luo, Haobo Li, Wei Tao, Yi Yang, Chio-In Ieong, Feng Wan
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Subjects:	electroencephalogram (EEG) affective computing few-channel EEG wearable EEG self-supervised learning feature extraction
Online Access:	https://www.mdpi.com/2227-7390/13/10/1608