User-customized brain computer interfaces using Bayesian optimization

The brain characteristics of different people are not the same. Brain computer interfaces (BCIs) should thus be customized for each individual person. In motor-imagery based synchronous BCIs, a number of parameters (referred to as hyper-parameters) including the EEG frequency bands, the channels and...

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Bibliographic Details

Published in:	Journal of neural engineering Vol. 13; no. 2; p. 026001
Main Authors:	Bashashati, Hossein, Ward, Rabab K, Bashashati, Ali
Format:	Journal Article
Language:	English
Published:	England 01.04.2016
Subjects:	Algorithms Bayes Theorem Brain - physiology Brain-Computer Interfaces - standards Brain-Computer Interfaces - trends Electroencephalography - methods Humans Pattern Recognition, Automated - methods Pattern Recognition, Automated - standards User-Computer Interface
ISSN:	1741-2552
Online Access:	Get more information
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