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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Vydané v:	Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics s. 2490 - 2495
Hlavní autori:	Tzdaka, Eidan, Benaroch, Camille, Jeunet, Camille, Lotte, Fabien
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 11.10.2020
Predmet:	Brain modeling Brain-Computer Interfaces (BCI) Computational modeling Electroencephalography electroencephalography (EEG) Feature extraction Machine learning neurophysiological predictor Predictive models Training
ISSN:	2577-1655
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