Design of a general brain-computer interface

Detalhes bibliográficos
Autor(a) principal: Benevides,Alessandro B.
Data de Publicação: 2011
Outros Autores: Sarcinelli-Filho,Mário, Bastos Filho,Teodiano F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Sba: Controle & Automação Sociedade Brasileira de Automatica
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592011000600009
Resumo: This paper presents the classification of three mental tasks, using the EEG signal and simulating a real-time process, what is known as pseudo-online technique. The Bayesian classifier is used to recognize the mental tasks, the feature extraction uses the Power Spectral Density, and the Sammon map is used to visualize the class separation. The choice of the EEG channel and sampling frequency is based on the Kullback-Leibler symmetric divergence and a reclassification model is proposed to stabilize the classifications.
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spelling Design of a general brain-computer interfaceBrain-Computer InterfacePower Spectral DensityKullback-Leibler symmetric divergenceThis paper presents the classification of three mental tasks, using the EEG signal and simulating a real-time process, what is known as pseudo-online technique. The Bayesian classifier is used to recognize the mental tasks, the feature extraction uses the Power Spectral Density, and the Sammon map is used to visualize the class separation. The choice of the EEG channel and sampling frequency is based on the Kullback-Leibler symmetric divergence and a reclassification model is proposed to stabilize the classifications.Sociedade Brasileira de Automática2011-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592011000600009Sba: Controle & Automação Sociedade Brasileira de Automatica v.22 n.6 2011reponame:Sba: Controle & Automação Sociedade Brasileira de Automaticainstname:Sociedade Brasileira de Automática (SBA)instacron:SBA10.1590/S0103-17592011000600009info:eu-repo/semantics/openAccessBenevides,Alessandro B.Sarcinelli-Filho,MárioBastos Filho,Teodiano F.eng2012-01-13T00:00:00Zoai:scielo:S0103-17592011000600009Revistahttps://www.sba.org.br/revista/PUBhttps://old.scielo.br/oai/scielo-oai.php||revista_sba@fee.unicamp.br1807-03450103-1759opendoar:2012-01-13T00:00Sba: Controle & Automação Sociedade Brasileira de Automatica - Sociedade Brasileira de Automática (SBA)false
dc.title.none.fl_str_mv Design of a general brain-computer interface
title Design of a general brain-computer interface
spellingShingle Design of a general brain-computer interface
Benevides,Alessandro B.
Brain-Computer Interface
Power Spectral Density
Kullback-Leibler symmetric divergence
title_short Design of a general brain-computer interface
title_full Design of a general brain-computer interface
title_fullStr Design of a general brain-computer interface
title_full_unstemmed Design of a general brain-computer interface
title_sort Design of a general brain-computer interface
author Benevides,Alessandro B.
author_facet Benevides,Alessandro B.
Sarcinelli-Filho,Mário
Bastos Filho,Teodiano F.
author_role author
author2 Sarcinelli-Filho,Mário
Bastos Filho,Teodiano F.
author2_role author
author
dc.contributor.author.fl_str_mv Benevides,Alessandro B.
Sarcinelli-Filho,Mário
Bastos Filho,Teodiano F.
dc.subject.por.fl_str_mv Brain-Computer Interface
Power Spectral Density
Kullback-Leibler symmetric divergence
topic Brain-Computer Interface
Power Spectral Density
Kullback-Leibler symmetric divergence
description This paper presents the classification of three mental tasks, using the EEG signal and simulating a real-time process, what is known as pseudo-online technique. The Bayesian classifier is used to recognize the mental tasks, the feature extraction uses the Power Spectral Density, and the Sammon map is used to visualize the class separation. The choice of the EEG channel and sampling frequency is based on the Kullback-Leibler symmetric divergence and a reclassification model is proposed to stabilize the classifications.
publishDate 2011
dc.date.none.fl_str_mv 2011-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592011000600009
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592011000600009
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-17592011000600009
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Automática
publisher.none.fl_str_mv Sociedade Brasileira de Automática
dc.source.none.fl_str_mv Sba: Controle & Automação Sociedade Brasileira de Automatica v.22 n.6 2011
reponame:Sba: Controle & Automação Sociedade Brasileira de Automatica
instname:Sociedade Brasileira de Automática (SBA)
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instname_str Sociedade Brasileira de Automática (SBA)
instacron_str SBA
institution SBA
reponame_str Sba: Controle & Automação Sociedade Brasileira de Automatica
collection Sba: Controle & Automação Sociedade Brasileira de Automatica
repository.name.fl_str_mv Sba: Controle & Automação Sociedade Brasileira de Automatica - Sociedade Brasileira de Automática (SBA)
repository.mail.fl_str_mv ||revista_sba@fee.unicamp.br
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