Towards physiology-informed data augmentation for EEG-based BCIs

no code implementations • 27 Mar 2022 • Oleksandr Zlatov, Benjamin Blankertz

Most EEG-based Brain-Computer Interfaces (BCIs) require a considerable amount of training data to calibrate the classification model, owing to the high variability in the EEG data, which manifests itself between participants, but also within participants from session to session (and, of course, from trial to trial).

Data Augmentation EEG +1