MTADA: A Multi-task Adversarial Domain Adaptation Network for EEG-based Cross-subject Emotion Recognition

• Published in: IEEE transactions on affective computing pp. 1 - 15
• Main Authors: Qiu, Lina, Ying, Zuorui, Song, Xianyue, Feng, Weisen, Zhou, Chengju, Pan, Jiahui
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: Accuracy; Adaptation models; Affective computing; Brain modeling; Computational modeling; Cross-subject; Domain adaptation; Electroencephalogram(EEG); Electroencephalography; Emotion recognition; Feature extraction; Multi-task learning; Multitasking; Training

In electroencephalogram (EEG)-based emotion recognition, the applicability of most current models is limited by inter-subject variability and emotion complexity. This study proposes a multi-task adversarial domain adaptation (MTADA) network to enhance cross-subject emotion recognition performance. T...