DEAP dataset
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.
Description
Dataset Overview
Dataset Name
DEAP Dataset
Dataset Purpose
Used for emotion classification based on EEG signals to enable high‑accuracy machine‑learning applications.
Experimental Design
- Participants: 32
- Stimuli: 40 music video clips
- Data Collection: Recorded participants' EEG and peripheral physiological signals
- Subjective Evaluation: Participants rated each video on arousal, valence, like/dislike, dominance, and familiarity
- Additional Recording: Positive videos for 22 participants were also recorded
Dataset Content
- All recorded signal data
- Positive‑video recordings for a subset of participants
- Participants' subjective ratings
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Topics
Source
Organization: github
Created: 1/10/2019
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