EEG and motion capture data set for a full-body/joystick rotation task
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100 results for "neuromotor interfaces" · page 5 of 10 · ranked by relevance
…Brain Computer Interfaces, RSVP, ERPs, Speller, P300, N2, gaze-independent ## Abstract A…
…signal processing ## Abstract Brain-computer interfaces (BCIs) have been gaining momentum in…
…potentials (SSVEPs) in brain-computer interfaces (BCIs). The standard CCA method, which…
…centered design ## Abstract Brain–computer interfaces (BCIs) based on event related potentials…
BigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 ALS subjects performing a 9x8 character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
…J. (2017) Learning from label proportions in brain-computer interfaces: Online unsupervised…