Multi-View Contrastive and Semantically-Aligned EEG Emotion Recognition with Topology and Asymmetry-Aware Adaptation
A reliable emotion recognition approach using EEG signals is crucial for affective human-computer interactions, but developing a reliable subject-independent decoder is very difficult. Despite previous research exploring either supervised deep learning or self-supervised contrastive approaches, no studies consider inte...