Ziyang He

EEG-UDAF: A novel unsupervised domain adaptation framework leveraging dual-view frequency and spatio-temporal features for EEG-based emotion recognition

Currently, machine learning technology has been widely used in electroencephalogram (EEG) automatic emotion recognition tasks. However, the non-stationarity, individual differences, and high annotation costs in EEG signals seriously affect the generalization ability of the model....