Joint Temporal Convolutional Networks and Adversarial Discriminative Domain Adaptation for EEG-Based Cross-Subject Emotion Recognition

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 3214 - 3218
• Main Authors: He, Zhipeng, Zhong, Yongshi, Pan, Jiahui
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2022
• Subjects: Adaptation models; Adversarial discriminative domain adaptation (ADDA); Brain modeling; Convolution; EEG; Electroencephalography; Emotion recognition; Signal processing algorithms; Speech recognition; Temporal convolutional network (TCN)

Cross-subject emotion recognition is one of the most challenging tasks in electroencephalogram (EEG)-based emotion recognition. To guarantee the constancy of feature representations across domains and to eliminate differences between domains, we explored the feasibility of combining temporal convolu...