BNCI 2025-002 Continuous 2D Trajectory Decoding dataset
…4-class motor imagery dataset BNCI2014_004 : 2-class motor imagery dataset…
- Participants
- 10
- Channels
- 60 (10-05)
- Citations
- 20
- HED
- v8.4.0
- Size
- 7.38 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
100 results for "motor-imagery" · page 8 of 10 · ranked by relevance
…4-class motor imagery dataset BNCI2014_004 : 2-class motor imagery dataset…
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
NEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG
…motor_imagery Imagery tasks: reach_forward, reach_backward, reach_left, reach_right…
This dataset comprises high-density, dual-layer EEG, neck EMG, IMU acceleration, ground reaction force, and structural MRI-derived head model data from 32 young adult participants walking over uneven terrain and at varying speeds. Each participant completed two three-minute trials per condition along with a seated rest trial. The dataset is designed to support research on the neural and biomechanical correlates of walking balance and gait adaptation on irregular surfaces.
…motor_imagery - **Imagery tasks**: left_hand_finger_tapping, right_hand_finger_tapping…
…motor_imagery Number of repetitions: 20 Data Structure -------------- Trials: {'per_session': 20…
This dataset comprises synchronized multimodal neurophysiological and biomechanical recordings from 128-channel EEG, electromyography (EMG), electrooculography (EOG), and motion capture during a perturbed beam-walking task. Participants performed four 10-minute sessions of standing or walking on a narrow balance beam while exposed to sensorimotor perturbations (visual field rotations or waist pulls). The dataset includes preprocessed EEG data with identified good channels and independent component analysis results, enabling investigation of cortical mechanisms underlying balance control and responses to perturbations.
Imported from OpenNeuro ds003801
…self-initiated reach-and-grasp motor imagery tasks using three different recording…