Multi-joint upper-limb MI dataset from Yi et al. 2025
…2025 Multi-joint upper-limb MI dataset from Yi et al. 2025…
- Participants
- 18
- Channels
- 62 (10-10)
- Citations
- 4
- HED
- v8.4.0
- Size
- 50.0 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
43 results for "upper limb" · page 1 of 5 · ranked by relevance
…2025 Multi-joint upper-limb MI dataset from Yi et al. 2025…
…Upper-limb elbow-centered motor imagery with 9 goal-directed tasks plus…
…11 intuitive upper-limb movement tasks: 6 reaching + 3 grasping + 2 wrist…
…Upper-limb motor imagery / rehabilitation exercises (`task-imagery`), multi-paradigm - **Application:** Upper…
…BCI Competition 2020 Track 4 — Upper-limb grasping motor imagery ## Overview BCIComp2020UpperLimb…
…motor imagery, EEG, upper extremity, same limb, time-domain features, SVM, BCI…
…The dynamometer was positioned according to the participant's lower limb length…
…one placed in the patient's upper back using a patch and…
…upper limb movements, EEG, motor imagery, movement execution, low-frequency, time-domain…
This dataset is a NEMAR re-host and BIDS conversion of the emg2pose benchmark, comprising surface electromyography (EMG) recordings paired with hand pose labels for wrist-worn sEMG-based hand pose estimation. It includes 16-channel, 2 kHz sEMG recordings synchronized with joint-angle labels derived from a 26-camera motion-capture rig, spanning 193 users, 370 hours, and approximately 80 million labeled frames across 29 behavioral stages.