emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection
- Participants
- 108
- Citations
- 1
- Size
- 223 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026
NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection
…After 12 bit analog-to-digital conversion, the data were written continuously…
NEMAR Dataset nm000105: discrete_gestures - Discrete hand gesture detection from EMG
…collected during naturalistic reading with **span-level mind-wandering annotations**. ROAMM provides…
…handwriting - Imagined handwriting from wrist-based surface electromyography **Task**: Air-writing (imagined…
EEG dataset recorded from participants receiving laser stimulation and verbally rating the resulting pain intensity. After an initial calibration to find the energy level producing an average rating of 7, each participant received 30 laser stimuli and rated each one on a 0-10 scale, from no sensation to unbearable pain.
…viewed 21,600 video clips spanning 180 categories of human action. By…
…encoding during a computerized spatial span task, (2) to determine whether item…
…We used a visual discrimination task. Stimuli consisted of 100 moving dots…
This dataset contains 62-channel EEG recordings from 18 healthy, right-handed participants performing motor imagery of eight multi-joint movements of the unilateral upper limb. The movements involve the hand, wrist, elbow and shoulder. Each participant completed 320 cue-based trials across 8 blocks, with 40 trials per class. The data support research on brain-computer interfaces for motor rehabilitation.