FRL Wrist Control: Wrist Movement Decoding from Surface Electromyography
…A generic non-invasive neuromotor interface for human-computer interaction. Nature, 645…
- Participants
- 100
- Size
- 26.8 GB
- Version
- vv2.0.0
- Updated
- Jul 10, 2026
100 results for "brain-computer interface" · page 7 of 10 · ranked by relevance
…A generic non-invasive neuromotor interface for human-computer interaction. Nature, 645…
[ recordings from naturalistic language stimuli ## Summary The Brain…
…relevance vector machines for brain-computer interface applications. ## Dataset Summary | Property | Value…
The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
…brain–computer interface (BCI), electroencephalography (EEG), code-modulated visual evoked potentials (cVEPs…
…Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces - **Country**: Austria - **Repository…
This dataset comprises simultaneous intracranial EEG, scalp EEG, and beamforming-reconstructed source data from fifteen epilepsy patients performing a verbal working memory task. Subjects completed a modified Sternberg task with temporally separated encoding, maintenance, and recall phases. The dataset includes electrode coordinates, anatomical labels, and trial-level behavioral information, enabling investigation of working memory mechanisms through multimodal electrophysiological recordings and source reconstruction.
…analysis and benchmarking of brain-computer interface paradigms based on steady-state…