Semantically Guided Cross-Subject EEG Emotion Recognition with Pretrained Language Model
EEG emotion recognition typically follows the standard signal-to-label paradigm. It maps EEG signals to discrete labels via feature engineering and machine learning, yet neglects the rich semantic information inherent in the task. This purely data-driven approach easily overfits to subject-specific physiological patter...