100 results for "real-time neurofeedback" · page 10 of 10 · ranked by relevance
…real-time adaptive RMDM classifier (calibration-free procedure) ## BCI Application - **Applications**: gaming…
…wheel and brake / foot pedals (Real Time Technologies; Dearborn, MI); Video Refresh…
This dataset comprises longitudinal motor imagery EEG recordings from 18 BCI-naive subjects across six sessions (one offline, five online), designed to study transfer learning and skill acquisition in brain-computer interfaces (BCIs). It compares two domain adaptation frameworks—Generic Recentering and Personally Assisted Recentering—for calibration-free BCI training using left/right hand motor imagery with visual feedback. Data were collected at 512 Hz with 22 EEG channels and analyzed using Riemannian geometry-based classifiers.
…not feeling it anymore three times in a row. We then repeated…
Imported from OpenNeuro ds004849
…During each session, participants were exposed to sensorimotor perturbations (either virtual-reality…
…wheel and brake / foot pedals (Real Time Technologies; Dearborn, MI); Video Refresh…
…Between cue and target were 3 seconds of task-irrelevant waiting time…
This dataset (WBCIC-SHU) contains multi-day EEG recordings from 51 healthy, right-handed, BCI-naive subjects performing a motor imagery brain-computer interface paradigm across three sessions per subject. Participants imagined left-hand, right-hand, or (for a subset of 11 subjects) foot movements in response to visual and auditory cues, yielding 39,600 trials in total. The dataset is intended for benchmarking motor imagery classification algorithms such as CSP, FBCSP, EEGNet, deepConvNet, and FBCNet, and was converted to BIDS format using MOABB.