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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44010
DC FieldValueLanguage
dc.contributor.authorHernández-Travieso, José G.en_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorDel Pozo-Baños, Marcosen_US
dc.contributor.authorAlonso, Jesús B.en_US
dc.date.accessioned2018-11-21T19:32:54Z-
dc.date.available2018-11-21T19:32:54Z-
dc.date.issued2013en_US
dc.identifier.isbn9789898565365en_US
dc.identifier.urihttp://hdl.handle.net/10553/44010-
dc.description.abstractThis paper proposes a emotion detector, applied for facial images, based on the analysis of facial segmentation. The parameterizations have been developed on spatial and transform domains, and the classification has been done by Support Vector Machines. A public database has been used in experiments, The Radboud Faces Database (RAFD), with eight possible emotions: anger, disgust, fear, happiness, sadness, surprise, neutral and contempt. Our best approach has been reached with decision fusion, using transform domains, reaching an accurate up to 96.62%.
dc.languagespaen_US
dc.relation.ispartofBIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processingen_US
dc.sourceBIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, p. 411-418en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherSoft-biometrics, Facial segmentation, Pattern recognition, Expression detectionen_US
dc.titleExpression detector system based on facial imagesen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conferenceInternational Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2013
dc.identifier.scopus84877978139-
dc.contributor.authorscopusid55734520200-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid35241841700-
dc.contributor.authorscopusid24774957200-
dc.description.lastpage418-
dc.description.firstpage411-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateMayo 2013
dc.identifier.conferenceidevents121472
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate11-02-2013-
crisitem.event.eventsenddate14-02-2013-
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-
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