BNCI 2014-001 Motor Imagery dataset
…It serves as a standard benchmark for 4-class motor imagery classification…
- Participants
- 9
- Channels
- 22 (10-10)
- Citations
- 90
- HED
- v8.4.0
- Size
- 672 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "EEG classification" · page 8 of 10 · ranked by relevance
…It serves as a standard benchmark for 4-class motor imagery classification…
…55 channels used for classification (all except Fp1,2, AF3,4, F9…
…For classification: same filter applied causally (forward only) for online portability. Artifact…
Imported from OpenNeuro ds003801
…EEG datasets for motor imagery brain-computer interface from 52 subjects with…
This dataset comprises electroencephalographic recordings from 38 healthy subjects engaged in a multi-user P300-based brain-computer interface experiment called Brain Invaders. Participants played in pairs across three conditions (Solo1, Solo2, and Collaboration) using a visual oddball paradigm with 36 symbols to elicit P300 responses. The study investigates inter-brain synchrony during collaborative BCI gaming, with 32-channel EEG recordings sampled at 512 Hz using wet electrodes in a standard 10-10 montage.
…upper limb movements, EEG, motor imagery, movement execution, low-frequency, time-domain…
…the largest public P300 BCI dataset, containing EEG recordings from ~267 subjects…
FOODEEG is an open dataset comprising electroencephalographic (EEG) and behavioral responses from 117 participants to food images. The dataset includes raw and processed EEG recordings from a food categorization task, along with behavioral data from food go/no-go and paired choice tasks. Participants also provided continuous ratings on food attributes and completed questionnaires assessing dietary styles and eating motivations, with normative ratings collected from an additional 624 online participants.
…the largest public P300 BCI dataset, containing EEG recordings from ~267 subjects…