Hybrid SSVEP/P300 BCI keyboard: Controlled by Visual Evoked Potential

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dc.contributor.authorCAPATI, F. A.
dc.contributor.authorBECHELLI, R. P.
dc.contributor.authorCastro, M.C.F.
dc.contributor.authorOrcidhttps://orcid.org/0000-0002-2751-0014
dc.date.accessioned2022-01-12T21:59:31Z
dc.date.available2022-01-12T21:59:31Z
dc.date.issued2016-02-05
dc.description.abstractCopyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.This paper presents a two stage Brain Computer Interface (BCI) keyboard system that consumes Electroencephalography (EEG) signals based on two evoked potential detection methods: P300 and Steady-State Visual Evoked Potential (SSVEP). In order to develop a practical daily use EEG system, signals were captured with a standard low cost Emotiv-EPOC system and processed using OpenViBE platform. Fast Fourier Transform (FFT) and sample average were used as feature extraction methods while Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM) were used as classifiers.
dc.description.firstpage214
dc.description.lastpage218
dc.identifier.citationCAPATI, F. A.; BECHELLI, R. P.; CASTRO, M. C. F. Hybrid SSVEP/P300 BCI keyboard: Controlled by Visual Evoked Potential. BIOSIGNALS 2016 - 9th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016, p. 214-218, 2016.
dc.identifier.doi10.5220/0005705202140218
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3936
dc.relation.ispartofBIOSIGNALS 2016 - 9th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016
dc.rightsAcesso Restrito
dc.subject.otherlanguageBCI
dc.subject.otherlanguageEvoked potential
dc.subject.otherlanguageFFT
dc.subject.otherlanguageLDA
dc.subject.otherlanguageP300
dc.subject.otherlanguageSSVEP
dc.subject.otherlanguageSVM
dc.subject.otherlanguageVisual stimulus
dc.titleHybrid SSVEP/P300 BCI keyboard: Controlled by Visual Evoked Potential
dc.typeArtigo de evento
fei.scopus.citations7
fei.scopus.eid2-s2.0-84969194540
fei.scopus.subjectDetection methods
fei.scopus.subjectFeature extraction methods
fei.scopus.subjectLinear discriminant analysis
fei.scopus.subjectP300
fei.scopus.subjectSSVEP
fei.scopus.subjectSteady state visual evoked potentials
fei.scopus.subjectVisual evoked potential
fei.scopus.subjectVisual stimulus
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84969194540&origin=inward
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