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.
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The DEAP dataset consists of two parts:
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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.
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