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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Bibliographic Details

Published in:	International journal of neural systems Vol. 24; no. 4; p. 1450013
Main Authors:	Zhang, Yu, Zhou, Guoxu, Jin, Jing, Wang, Xingyu, Cichocki, Andrzej
Format:	Journal Article
Language:	English
Published:	Singapore 01.06.2014
Subjects:	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 Access:	Get more information
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