Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis

Canonical correlation analysis (CCA) has been one of the most popular methods for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). Despite its efficiency, a potential problem is that using pre-constructed sine-cosine waves as the required...

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Bibliographische Detailangaben

Veröffentlicht in:	International journal of neural systems Jg. 24; H. 4; S. 1450013
Hauptverfasser:	Zhang, Yu, Zhou, Guoxu, Jin, Jing, Wang, Xingyu, Cichocki, Andrzej
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore 01.06.2014
Schlagworte:	Adult Algorithms Brain - physiology Brain Mapping Brain-Computer Interfaces Electroencephalography Evoked Potentials, Visual - physiology Female Humans Male Pattern Recognition, Automated Photic Stimulation Recognition (Psychology) User-Computer Interface Young Adult
ISSN:	0129-0657, 1793-6462, 1793-6462
Online-Zugang:	Weitere Angaben
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