EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion

• Published in: IEEE transactions on affective computing Vol. 14; no. 4; p. 1
• Main Authors: Cui, Heng, Liu, Aiping, Zhang, Xu, Chen, Xiang, Liu, Jun, Chen, Xun
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Brain modeling; Electroencephalogram (EEG); Electroencephalography; Emotion recognition; Emotions; Feature extraction; gated recurrent unit (GRU); Logic gates; minimum class confusion (MCC); subject-independent; Training

Automatic emotion recognition based on electroencephalogram (EEG) has attracted rapidly increasing interests. Due to large inter-subject variabilities, subject-independent emotion recognition faces great challenges. Recently, domain adaptation methods have been successfully applied in this field due...