Three-Stage Semi-Supervised Multisource Adversarial Learning for EEG Signal Processing and Emotion Detection
Electroencephalogram (EEG) signals exhibit immense potential in emotion recognition due to their high temporal resolution and direct measurement of brain activity. However, intersubject variability in EEG measurements leads to differences in distributions across participants, limiting the robustness and generalization...