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DEAP — Database for Emotion Analysis using Physiological Signals

Citation: Koelstra, S., et al. (2012). IEEE Transactions on Affective Computing, 3(1), 18-31.
DOI: 10.1109/T-AFFC.2011.15
Access: eecs.qmul.ac.uk/mmv/datasets/deap/
Tier: 2

Overview

32 participants watched 40 one-minute music video clips. Self-reported valence, arousal, dominance, like/dislike.

Signals

  • EEG (32 channels)
  • GSR / EDA
  • Plethysmograph (blood volume)
  • Skin temperature
  • Respiration
  • EOG (eye movements)
  • EMG (facial muscle activity)

Relevance

Widely used emotion benchmark. Arousal dimension can serve as proxy for pre-meltdown arousal state. GSR (EDA) + plethysmograph + temperature align with key Meltdown Minder signal types. Not wrist-worn but same physiological signals.