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FACED - Finer-grained Affective Computing EEG Dataset
EEG Zarr
FACED is a scalp EEG dataset from 123 healthy participants who watched 28 emotion-eliciting video clips targeting nine emotion categories: four negative, four positive and one neutral. Participants gave self-reports on 12 dimensions, including discrete emotions, valence, arousal, liking and familiarity. The dataset supports cross-subject affective computing research and the development of EEG-based emotion recognition algorithms. This BIDS version includes event annotations linked to stimulus metadata.
- Participants
- 123
- Channels
- 32 (10-10)
- Citations
- 94
- Size
- 31.4 GB
- Version
- v1.1.4
- Updated
- Oct 19, 2026