EEG Emotion Recognition

The SEED dataset contains subjects' EEG signals when they were watching films clips. The film clips are carefully selected so as to induce different types of emotion, which are positive, negative, and neutral ones. Source: http://bcmi.sjtu.edu.cn/home/seed/index.html Image Source: http://bcmi.sjtu.edu.cn/home/seed/index.html

The DEAP dataset consists of two parts: - The ratings from an online self-assessment where 120 one-minute extracts of music videos were each rated by 14-16 volunteers based on arousal, valence and dominance. - The participant ratings, physiological recordings and face video of an experiment where 32 volunteers watched a subset of 40 of the above music videos. EEG and physiological signals were recorded and each participant also rated the videos as above. For 22 participants frontal face video was also recorded.

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A physiological signal dataset with multiple physiological signals collected from 30 participants. The dataset consists of EEG, EDA, BVP, and temperature information with annotations in both categorical and dimensional views along with the individual personality traits of the participants for the study of emotions in presence of individual personality differences. The PhyMER dataset consists of the recorded physiological signals, participants' personality information, and emotion annotations in terms of Arousal, Valence, and seven basic emotions. Modality: Electroencephalogram(EEG), Electrodermal Activity(EDA), Blood Pulse Volume(BVP), Heart Rate(HR), Peripheral Skin Temperature(TEMP), Personality Traits Labels: Arousal and valence(1-9) Seven Basic Emotions(Anger, Disgust, Fear, Happy, Neutral, Sad, Surprise)