Enhancing EEG-Based Cross-Subject Emotion Recognition via Adaptive Source Joint Domain Adaptation

• Published in: IEEE transactions on affective computing pp. 1 - 13
• Main Authors: Liu, Ke, Luo, Xin, Zhu, Wenrui, Yu, Zhuliang, Yu, Hong, Xiao, Bin, Wu, Wei
• Format: Journal Article
• Language: English
• Published: IEEE 2024
• Subjects: Adaptation models; adaptive source selection; Adaptive systems; Affective computing; Brain modeling; cross-subject; Decoding; domain adaptation; EEG emotion recognition; Electroencephalography; Emotion recognition; Feature extraction; Target recognition; Transfer learning

EEG emotion recognition is crucial in both human-machine interaction and healthcare. However, recognizing emotions across different subjects remains challenging due to individual variability. While existing multi-source domain adaptation methods have been utilized for cross-subject EEG emotion decod...