FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography
…interaction" (Nature) ### Purpose This dataset captures wrist-based sEMG signals during prompted…
- Participants
- 100
- Size
- 20.6 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
86 results for "motion capture" · page 2 of 9 · ranked by relevance
…interaction" (Nature) ### Purpose This dataset captures wrist-based sEMG signals during prompted…
…The motion capture recording environment uses two devices: "rigid_head" and "rigid…
…dataset captures wrist-based sEMG signals during imagined handwriting motions for text…
…signal is captured with EEG001 Movement trigger is captured with UPPT001 Dipole…
Imported from OpenNeuro ds003801
…Functional MRI preprocessing included skull stripping, motion correction, slice-timing correction, and…
Imported from OpenNeuro ds004018
This dataset contains EEG recordings collected to characterize visual fatigue induced by mixed reality stereo vision. Participants viewed resting and movement scenes designed to elicit varying degrees of visual fatigue while EEG was recorded from 24 scalp electrodes. The dataset supports both resting-state and task-state EEG analyses related to fatigue characterization under stereoscopic visual stimulation.
…soa_ms=200 ms (Cake Spellers) or 266 ms (Motion Center Speller…
…Before the experiment, individual motion sensitivity was estimated with two 40-trial…