Tensor-based classification of an auditory mobile BCI without a subject-specific calibration phase

One of the major drawbacks in EEG brain-computer interfaces (BCI) is the need for subject-specific training of the classifier. By removing the need for a supervised calibration phase, new users could potentially explore a BCI faster. In this work we aim to remove this subject-specific calibration ph...

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Veröffentlicht in:	Journal of neural engineering Jg. 13; H. 2; S. 026005
Hauptverfasser:	Zink, Rob, Hunyadi, Borbála, Huffel, Sabine Van, Vos, Maarten De
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 01.04.2016
Schlagworte:	Acoustic Stimulation - classification Acoustic Stimulation - methods Acoustic Stimulation - standards Adult Auditory Cortex - physiology Brain-Computer Interfaces - classification Brain-Computer Interfaces - standards Calibration Female Humans Male Young Adult
ISSN:	1741-2552
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