BNCI 2014-004 Motor Imagery dataset
…of left or right hand movements. ## HED Event Annotations Schema: HED 8…
- Participants
- 1
- Channels
- 3 (10-20)
- Citations
- 83
- HED
- v8.4.0
- Size
- 478 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
…of left or right hand movements. ## HED Event Annotations Schema: HED 8…
EEG recordings of motor imagery and motor execution for six activities (raising and lowering each hand, standing and sitting) from 30 healthy participants over two sessions. Data were acquired with a 14-channel Emotiv EPOC X headset at 128 Hz. This BIDS re-release, produced via MOABB, exposes a 3-class imagery task (left hand, right hand, trunk) for brain-computer interface research. The distributed imagery files carry no per-repetition activity label, so only folder-level 3-class labels are available.
HAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset on human action recognition. It extends the Human Action Dataset fMRI resource (HAD-fMRI) and was recorded in the same 30 participants with the same stimuli, 21,600 video clips spanning 180 categories of human action. The millisecond temporal resolution of M/EEG complements the spatial precision of fMRI, enabling spatiotemporal study of the neural mechanisms of action recognition.
…1) imagining right-handed movements and 2) imagining left-handed movements. The…
…Vertical and horizontal electrooculograms were recorded to monitor eye movements and blinks…
Motor-imagery EEG recorded from 12 healthy, BCI-naive participants performing cued left- versus right-hand imagery to control a Baxter robot arm reaching toward objects. Each participant completed three sessions with first-person and third-person visual feedback conditions, giving 480 trials per subject. Data were recorded with a 32-channel LiveAmp system at 250 Hz and re-released in BIDS format via MOABB.
EEG recordings from 20 healthy participants performing a discrete center-out reaching task in four directions (up, down, left, right) at two speeds (slow, fast) and two distances (near, far). The data were recorded with 67 channels, including EOG, and preprocessed with eye artifact correction (SGEYESUB) and ICA. The dataset supports research on low-frequency EEG encoding of reaching kinematics and on brain-computer interfaces.
…Electrooculograms (EOG, horizontal and vertical eye movements) and electrocardiogram (ECG) were simultaneously…
…the screen and minimize eye movements and head motions. The task involved…