nm000233
BCI Competition 2020 Track 4 — Upper-limb grasping motor imagery
EEG
…Competition 2020 Track 4 — Upper-limb grasping motor imagery ## Overview BCIComp2020UpperLimb is…
- Size
- 795 MB
- Updated
- Jun 23, 2026
Discover datasets
41 results for "upper-limb grasping" · page 1 of 5 · ranked by relevance
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- nm000311
Multimodal upper-limb MI/ME EEG (Jeong et al. 2020)
EEG…11 intuitive upper-limb movement tasks: 6 reaching + 3 grasping + 2 wrist…
- Citations
- 78
- Size
- 88.6 GB
- Updated
- May 16, 2026
- nm000160
Multi-joint upper-limb MI dataset from Yi et al. 2025
EEG…2025 Multi-joint upper-limb MI dataset from Yi et al. 2025…
- Size
- 20.3 GB
- Updated
- May 25, 2026
- nm000271
Chang et al. 2025 — A multi-paradigm EEG dataset for studying upper limb rehabilitation exercises (Lanzhou Jiaotong University)
EEG…Upper-limb motor imagery / rehabilitation exercises (`task-imagery`), multi-paradigm - **Application:** Upper…
- Citations
- 1
- Size
- 3.46 GB
- Updated
- Jun 17, 2026
- nm000152
Upper-limb elbow-centered motor imagery dataset (10 classes)
EEG…Upper-limb elbow-centered motor imagery with 9 goal-directed tasks plus…
- Citations
- 13
- Size
- 1.61 GB
- Updated
- Jun 19, 2026
- nm000151
Motor imagery dataset for three imaginary states of the same upper extremity
EEG…Three-class motor imagery of the same upper extremity: rest, grasping (MI…
- Citations
- 44
- Size
- 3.20 GB
- Updated
- May 16, 2026
- nm000105
FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography
EMGNEMAR Dataset nm000105: discrete_gestures - Discrete hand gesture detection from EMG
- Size
- 34.3 GB
- Updated
- May 16, 2026
- nm000178
BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset
EEGThis dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
- Size
- 2.08 GB
- Updated
- Jun 23, 2026
- nm000107
FRL Wrist Control: Wrist Movement Decoding from Surface Electromyography
EMGNEMAR Dataset nm000107: wrist - Wrist movement control from EMG
- Size
- 26.8 GB
- Updated
- May 16, 2026
- nm000173
Motor Imagery ataset from Ofner et al 2017
EEG…upper limb movements, EEG, motor imagery, movement execution, low-frequency, time-domain…
- Citations
- 95
- Size
- 8.54 GB
- Updated
- May 18, 2026