MGFKD: A semi-supervised multi-source domain adaptation algorithm for cross-subject EEG emotion recognition

• Published in: Brain research bulletin Vol. 208; p. 110901
• Main Authors: Zhang, Rui, Guo, Huifeng, Xu, Zongxin, Hu, Yuxia, Chen, Mingming, Zhang, Lipeng
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.03.2024; Elsevier
• Subjects: Algorithms; Electroencephalography; Emotion recognition; Emotions; Golden subjects; Humans; Negative transfer; Recognition, Psychology; Semi-supervised domain adaptation algorithm; Transfer learning; Emotion recognition; Golden subjects; Negative transfer; Semi-supervised domain adaptation algorithm; Transfer learning

Currently, most models rarely consider the negative transfer problem in the research field of cross-subject EEG emotion recognition. To solve this problem, this paper proposes a semi-supervised domain adaptive algorithm based on few labeled samples of target subject, which called multi-domain geodes...