Multimodal Emotion Recognition Using EEG and ECG: Exploring Cross-Modal Correlations and Feature Fusion Strategies
Emotion recognition using physiological signals has attracted increasing attention in affective computing due to its objectivity and robustness, with electroencephalography (EEG) and electrocardiography (ECG) providing complementary information reflecting central and autonomic nervous system activities. This paper pres...