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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43954
DC FieldValueLanguage
dc.contributor.authorDiaz Alonso, Alain D.en_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorAlonso, Jesus B.en_US
dc.contributor.authorDutta, Malay Kishoreen_US
dc.contributor.authorSingh, Anushikhaen_US
dc.date.accessioned2018-11-21T19:07:56Z-
dc.date.available2018-11-21T19:07:56Z-
dc.date.issued2017en_US
dc.identifier.isbn9781509032105en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/43954-
dc.description.abstractThis paper proposes a biometric system to identify people using common biomedical sensors. A dataset is built by groups of signals acquired from 25 people, and is used in the system. The present proposal applies a combination of principal components analysis and support vector machines to identify people by a group of biometric signals: electrocardiogram, airflow, temperature, pulse oximetry, electromyogram and galvanic skin response. The testing results have achieved a 92% of correct identification rate.en_US
dc.languageengen_US
dc.source2nd International Conference on Communication, Control and Intelligent Systems, CCIS 2016 (7878210), p. 104-109en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherSupport vector machinesen_US
dc.subject.otherSkinen_US
dc.subject.otherElectromyographyen_US
dc.subject.otherTemperature measurementen_US
dc.subject.otherMathematical modelen_US
dc.subject.otherFinite element analysisen_US
dc.subject.otherBiomedical Sensorsen_US
dc.subject.otherSignal Processingen_US
dc.subject.otherArduinoen_US
dc.subject.otherBiometricen_US
dc.titleBiometric personal identification system using biomedical sensorsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference2nd International Conference on Communication, Control and Intelligent Systems, CCIS 2016en_US
dc.identifier.doi10.1109/CCIntelS.2016.7878210en_US
dc.identifier.scopus85017198530-
dc.identifier.isi000405602900021-
dc.contributor.authorscopusid57193864215-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid24774957200-
dc.contributor.authorscopusid35291803600-
dc.contributor.authorscopusid55885045200-
dc.description.lastpage109en_US
dc.identifier.issue7878210-
dc.description.firstpage104en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid9443548-
dc.contributor.daisngid265761-
dc.contributor.daisngid29084685-
dc.contributor.daisngid35026383-
dc.contributor.daisngid802071-
dc.description.numberofpages6en_US
dc.identifier.eisbn978-1-5090-3210-5-
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Alonso, ADD-
dc.contributor.wosstandardWOS:Travieso, CM-
dc.contributor.wosstandardWOS:Alonso, JB-
dc.contributor.wosstandardWOS:Dutta, MK-
dc.contributor.wosstandardWOS:Singh, A-
dc.date.coverdateMarzo 2017en_US
dc.identifier.conferenceidevents121054-
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.event.eventsstartdate18-11-2016-
crisitem.event.eventsenddate20-11-2016-
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