A Multimodal Dataset for Mixed Emotion Recognition with Physiological and Video Data
A Multimodal Dataset for Mixed Emotion Recognition contains physiological and video data from 73 participants watching emotion-inducing video clips. The dataset includes EEG, GSR, PPG, and frontal face video signals, alongside self-reported ratings on PANAS, VAD, and amusement-disgust dimensions. It was created by Pei Yang from Tsinghua University and shared via Papers with Code.