DEAP: A Database for Emotion Analysis ;Using Physiological Signals

  title={DEAP: A Database for Emotion Analysis ;Using Physiological Signals},
  author={Sander Koelstra and Christian M{\"u}hl and M. Soleymani and Jong-Seok Lee and Ashkan Yazdani and Touradj Ebrahimi and Thierry Pun and Anton Nijholt and I. Patras},
  journal={IEEE Transactions on Affective Computing},
We present a multimodal data set for the analysis of human affective states. The electroencephalogram (EEG) and peripheral physiological signals of 32 participants were recorded as each watched 40 one-minute long excerpts of music videos. Participants rated each video in terms of the levels of arousal, valence, like/dislike, dominance, and familiarity. For 22 of the 32 participants, frontal face video was also recorded. A novel method for stimuli selection is proposed using retrieval by… 


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