Classification Methods for Brain-Computer Interface

0364124 - ÚI 2012 CZ eng K - Konferenční příspěvek (tuzemská konf.)
Bobrov, P. - Frolov, A. A. - Húsek, Dušan
Classification Methods for Brain-Computer Interface.
WOFEX 2011. Ostrava: VŠB - Technical University, 2011 - (Krátký, P.; Dvorský, J.; Moravec, P.), s. 314-319. ISBN 978-80-248-2449-9.
[WOFEX 2011. Annual Workshop /9./. Ostrava (CZ), 08.09.2011-09.09.2011]
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: brain computer interface * BCI * EEG * Bayesian classifier * common spatial patterns * CSP * common tensor discriminant analysis * CTDA * classification accuracy
Kód oboru RIV: IN - Informatika

The performance of four classifiers for Brain Computer Interface (BCI) systems based on multichannel EEG recordings is tested in this work. The classifiers are designed to distinguish EEG patterns corresponding to performance of several mental tasks. It is shown that relatively simple classifiers based on the Bayesian approach are comparable in classification accuracy with more sophisticated classifiers based on Common Spatial Patterns and Common Tensor Discriminant Analysis
Trvalý link: http://hdl.handle.net/11104/0199687