ToonFaces
This dataset comprises electroencephalographic (EEG) recordings collected during the presentation of stylized facial stimuli to investigate emotion detection and event-related potentials (ERPs). The study demonstrates that artificially enhanced faces with exaggerated visual features elicit enhanced N170 components compared to standard facial images, suggesting optimized stimulus design can improve neural correlates of emotion recognition. These findings have implications for affective brain-computer interface (BCI) development and emotion detection accuracy from EEG signals. Participant information has been anonymized.
- Participants
- 26
- Size
- 2.46 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026