Discover datasets

This dataset contains EEG recordings from an experiment investigating how stylized, exaggerated facial images enhance event-related potential (ERP) features relevant to emotion detection. The study demonstrates that artificially modified human faces elicit a stronger N170 component compared to natural faces, informing the design of affective brain-computer interfaces (BCIs). Participant identifying information has been removed for anonymization.

Participants

26

Channels

28 (10-10)

Size

2.46 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from 15 healthy subjects performing a P300-based brain-computer interface task for home appliance control. The experiment employed a visual oddball paradigm with 31-channel EEG acquisition at 500 Hz, yielding target and non-target event classifications across 50 training and 30 testing trials per subject. The data supports the development and benchmarking of P300-based BCI systems for practical applications in smart home environments.

Participants

15

Channels

31 (10-10)

Citations

8

HED

v8.4.0

Size

1.22 GB

Version

v1.0.3

Updated

Aug 18, 2026