nm000236
Dataset of an EEG-based BCI experiment in Virtual Reality using P300
EEG
This dataset comprises electroencephalographic recordings from 21 healthy subjects performing a visual P300-based brain-computer interface task in two environments: a personal computer and a virtual reality headset. The study compares BCI performance and user experience across these modalities using a 6×6 matrix speller paradigm with 16-channel EEG recordings at 512 Hz sampling rate. The experiment was conducted at GIPSA-lab in 2018 and includes both physiological and subjective outcome measures.
- Participants
- 21
- Channels
- 16 (10-10)
- Citations
- 5
- HED
- v8.4.0
- Size
- 999 MB
- Version
- v1.0.4
- Updated
- Aug 18, 2026