Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users' Performance

Motor Imagery-based Brain-Computer Interfaces (MI-BCI) allow users to control a computer for various applications using their brain activity alone, which is usually recorded by an electroencephalogram (EEG). Although BCI applications are numerous, their use outside laboratories is still scarce due t...

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Bibliographic Details

Published in:	Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics pp. 2490 - 2495
Main Authors:	Tzdaka, Eidan, Benaroch, Camille, Jeunet, Camille, Lotte, Fabien
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11.10.2020
Subjects:	Brain modeling Brain-Computer Interfaces (BCI) Computational modeling Electroencephalography electroencephalography (EEG) Feature extraction Machine learning neurophysiological predictor Predictive models Training
ISSN:	2577-1655
Online Access:	Get full text
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