Multiple classifier system for EEG signal classification with application to brain–computer interfac...
Multiple classifier system for EEG signal classification with application to brain–computer interfaces
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Publisher
London: Springer London
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Language
English
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Publisher
London: Springer London
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In this paper, we demonstrate the use of a multiple classifier system for classification of electroencephalogram (EEG) signals. The main purpose of this paper is to apply several approaches to classify motor imageries originating from the brain in a more robust manner. For this study, dataset II from BCI competition III was used. To extract feature...
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Full title
Multiple classifier system for EEG signal classification with application to brain–computer interfaces
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TN_cdi_pascalfrancis_primary_27774984
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pascalfrancis_primary_27774984
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ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-012-1074-3
