Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/341522
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.identifier.isbn978-3-030-16053-1pt_BR
dc.contributor.authorunicampCosta, Thiago Bulhões da Silva-
dc.contributor.authorunicampAttux, Romis Ribeiro de Faissol-
dc.typeArtigopt_BR
dc.titleOnline control of a robotic manipulator by a brain computer interface based on SSVEPpt_BR
dc.contributor.authorVargas, Guilherme V.-
dc.contributor.authorTakeda, Romeu Y.-
dc.contributor.authorLeite, Harlei M. A.-
dc.contributor.authorCosta, Thiago B. S.-
dc.contributor.authorAttux, Romis-
dc.contributor.authorCarvalho, Sarah N.-
dc.subjectInterfaces cérebro-computadorpt_BR
dc.subject.otherlanguageBrain-computer interfacespt_BR
dc.description.abstractA Brain Computer Interface (BCI) provides a channel of communication and control amid the human brain and a computer or electronic device. In this paper we describe the implementation of all the main steps involved in the operation of a BCI system based on Steady State Visually Evoked Potential (SSVEP) paradigm. Also, we present a comparative study about the performance of our BCI employing two feature extraction techniques (Welch’s Method and Discrete Fourier Transform), and considering the signal analysis window of two sizes (4 and 6 s). The results guided the conception of an online BCI-SSVEP. Our system was successfully controlled by two volunteers, who completed the task of moving a foam block with a robotic manipulatorpt_BR
dc.relation.ispartofSmart innovation, systems and technologiespt_BR
dc.publisher.cityHeidelbergpt_BR
dc.publisher.countryAlemanhapt_BR
dc.publisherSpringerpt_BR
dc.date.issued2019-
dc.date.monthofcirculationMaypt_BR
dc.language.isoengpt_BR
dc.description.volume140pt_BR
dc.description.firstpage191pt_BR
dc.description.lastpage199pt_BR
dc.rightsFechadopt_BR
dc.sourceSCOPUSpt_BR
dc.identifier.issn2190-3018pt_BR
dc.identifier.eissn2190-3026pt_BR
dc.identifier.doi10.1007/978-3-030-16053-1_18pt_BR
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/978-3-030-16053-1_18pt_BR
dc.date.available2020-05-15T16:43:22Z-
dc.date.accessioned2020-05-15T16:43:22Z-
dc.description.provenanceSubmitted by Susilene Barbosa da Silva (susilene@unicamp.br) on 2020-05-15T16:43:22Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-08-27T19:18:04Z : No. of bitstreams: 1 2-s2.0-85068590811.pdf: 360081 bytes, checksum: f1c1dd4030a9836fdd6da5cbe5679018 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-05-15T16:43:22Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/341522-
dc.description.conferencenomeProceedings of the 4th Brazilian Technology Symposium (BTSym'18)pt_BR
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.departmentDepartamento de Engenharia Computação Automação Industrialpt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.subject.keywordBCIpt_BR
dc.subject.keywordSSVEPpt_BR
dc.subject.keywordBrain signal processingpt_BR
dc.subject.keywordWelch’s methodpt_BR
dc.subject.keywordDFTpt_BR
dc.subject.keywordRobotic manipulatorpt_BR
dc.identifier.source2-s2.0-85068590811pt_BR
dc.creator.orcid0000-0003-1850-3530pt_BR
dc.creator.orcid0000-0002-2961-4044pt_BR
dc.type.formArtigo de eventopt_BR
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