Abstract: Electroencephalography (EEG)-based emotion recognition (ER) is a growing research area in affective computing and human–computer interaction. EEG signals capture non-invasive measurements of ...
Abstract: The scarcity of labeled EEG data presents a significant challenge in emotion recognition. To address this issue, we propose PAWS, a semi-supervised learning framework specifically designed ...