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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Veröffentlicht in:	Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics S. 2490 - 2495
Hauptverfasser:	Tzdaka, Eidan, Benaroch, Camille, Jeunet, Camille, Lotte, Fabien
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 11.10.2020
Schlagworte:	Brain modeling Brain-Computer Interfaces (BCI) Computational modeling Electroencephalography electroencephalography (EEG) Feature extraction Machine learning neurophysiological predictor Predictive models Training
ISSN:	2577-1655
Online-Zugang:	Volltext
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