NEMAR Dataset nm000105: discrete_gestures - Discrete hand gesture detection from EMG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004745-blue…
NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection
NEMAR Dataset nm000107: wrist - Wrist movement control from EMG
…propted by an auditory cue. Sensors are placed over the motor cortex…
NEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG
…The beamforming sources are in the form of virtual EEG sensors each…
EEG recordings from 15 healthy participants performing a visual P300 oddball task while walking on a treadmill at 1.6 m/s, released as BCI Competition 2020 Track 5. The dataset combines 46-channel scalp EEG, 14-channel ear-EEG, 4 EOG channels, and 6 inertial measurement unit channels sampled at 100 Hz. It is intended for evaluating brain-computer interface performance under ambulatory conditions, with trials divided temporally into training, validation, and test sets.
…recordings with carbon wire loop sensors embedded in EEG caps for artifact…
A large, longitudinal EEG dataset collected while 62 healthy adults learned to control a sensorimotor rhythm-based brain-computer interface. Participants completed 7-11 online training sessions of continuous cursor control using motor imagery of the left hand, right hand, both hands, and rest. In total the dataset comprises 598 sessions and over 250,000 trials, offering a resource for designing and evaluating BCI algorithms and for studying BCI learning.