Cerebral asymmetry representation learning-based deep subdomain adaptation network for electroencephalogram-based emotion recognition

Extracting discriminative spatial information from multiple electrodes is a crucial and challenging problem for electroencephalogram (EEG)-based emotion recognition. Additionally, the domain shift caused by the individual differences degrades the performance of cross-subject EEG classification.