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The DEAP dataset is a physiological‑signal database for emotion analysis, primarily using EEG signals to assess emotional states, including arousal and valence.
This dataset is used for emotion classification based on EEG signals. It records EEG and peripheral physiological signals of 32 participants while they watch 40 music videos. Participants rate each video on arousal, valence, like/dislike, dominance, and familiarity. The dataset includes all recorded signal data, a subset of positive‑video recordings for some participants, and the participants' subjective ratings.
DEAP, SEED, DREAMER, CAS(ME)², and AMIGOS are EEG datasets used for research such as emotion analysis and facial recognition.
