BNCI 2014-002 Motor Imagery dataset
…Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces - **Country**: Austria - **Repository…
- Participants
- 14
- Channels
- 15 (other)
- HED
- v8.4.0
- Size
- 1.37 GB
- Version
- v1.0.5
- Updated
- Oct 8, 2026
…Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces - **Country**: Austria - **Repository…
…dataset generalization in brain-computer interfaces, this dataset supports benchmarking of transfer…
[ using electroencephalography (EEG…
EEG recordings from healthy participants performing self-initiated palmar and lateral reach-and-grasp actions, acquired simultaneously across three recording systems: gel-based laboratory EEG, water-based mobile EEG, and dry-electrode mobile EEG. The dataset supports investigation of the feasibility of decoding natural reach-and-grasp movement-related cortical potentials across EEG acquisition modalities for brain-computer interface applications. It is distributed in BIDS format as part of the MOABB benchmark collection.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000149-blue…