Comparison of four classification methods for brain-computer interface

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00359738" target="_blank" >RIV/67985807:_____/11:00359738 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Comparison of four classification methods for brain-computer interface

Original language description

Four classifiers effectiveness, for Brain Computer Interface (BCI) based on multichannel EEG with aim to distinguish EEG patterns corresponding to performance of several mental tasks, is compared. Basic Bayesian classifier (BC) exploits only inter-channel covariance matrices. The second one based on Bayesian approach exploits inter-channel covariance matrices estimated separately for several frequency bands (Multiband Bayesian Classifier, MBBC). The third one based on Multiclass Common Spatial Patterns(MSCP) method exploits only inter-channel covariance matrices as BC. The fourth one based on Common Tensor Discriminant Analysis (CTDA) takes EEG frequency structure into account. The MBBC and CTDA classifiers perform significantly better than the two other methods. Classifiers computational complexity analysis shows that an increase in the classifying quality is always accompanied by a significant increase of computational complexity.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Neural Network World

ISSN

1210-0552

e-ISSN

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Volume of the periodical

21

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

15

Pages from-to

101-115

UT code for WoS article

000290838300001

EID of the result in the Scopus database

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