A tensorial approach to single trial recognition for brain computer interface

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4 Citations (Scopus)

Abstract

In this paper, we propose a tensorial approach to single trial recognition in a EEG-based BCI system related to movement related potentials. In this approach input data are considered as tensors instead of more conventional vector or matrix representations. Feature extraction for multiway EEG spectral tensors is solved by using tensor (multi-array) decompositions. For the same EEG motor imagery dataset, the developed algorithms improved the accuracy of classification by almost 10% compared with the common spatial pattern (CSP) method.

Original languageEnglish
Title of host publicationProceedings - 2010 International Conference on Advanced Technologies for Communications, ATC 2010
Pages138-141
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 International Conference on Advanced Technologies for Communications, ATC 2010 - Ho Chi Minh City, Viet Nam
Duration: 20 Oct 201022 Oct 2010

Publication series

NameProceedings - 2010 International Conference on Advanced Technologies for Communications, ATC 2010

Conference

Conference2010 International Conference on Advanced Technologies for Communications, ATC 2010
Country/TerritoryViet Nam
CityHo Chi Minh City
Period20/10/1022/10/10

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