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dc.contributor.authorVera Rodríguez, Rubén 
dc.contributor.authorMason, John S. D.
dc.contributor.authorFiérrez Aguilar, Julián 
dc.contributor.authorOrtega García, Javier 
dc.contributor.otherUAM. Departamento de Tecnología Electrónica y de las Comunicacioneses_ES
dc.date.accessioned2015-02-06T18:07:02Z
dc.date.available2015-02-06T18:07:02Z
dc.date.issued2011-11-01
dc.identifier.citationIET Computer Vision 5.6 (2011): 380–388en_US
dc.identifier.issn1751-9632 (print)en_US
dc.identifier.issn1751-9640 (online)en_US
dc.identifier.urihttp://hdl.handle.net/10486/663655
dc.descriptionThis paper is a postprint of a paper submitted to and accepted for publication in Computer Vision, IET and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Libraryen_US
dc.description.abstractThis study reports an experimental analysis of footsteps as a biometric. The focus here is on information extracted from the spatial domain of signals collected from an array of piezoelectric sensors. Results are related to the largest footstep database collected to date, with almost 20 000 valid footstep signals and more than 120 persons. A novel feature approach is proposed, obtaining three-dimensional images of the distribution of the footstep pressure along the spatial course. Experimental work is based on a verification mode with a holistic approach based on principal component analysis and support vector machines, achieving results in the range of 6-10% equal error rate (EER) depending on the experimental conditions of quantity of data used in the client models (200 and 40 signals per model, respectively). Also, this study includes the analysis of two interesting factors affecting footstep signals and especially spatial domain features, namely, sensor density and the special case of high heels.en_US
dc.description.sponsorshipRuben Vera-Rodriguez, Julian Fierrez and Javier Ortega Garcia are supported by projects Contexts (S2009/TIC-1485), Bio-Challenge (TEC2009-11186), TeraSense (CSD2008-00068) and ‘Catedra UAM-Telefonica’.en_US
dc.format.extent30 pág.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherThe Institution of Engineering and Technologyen_US
dc.relation.ispartofIET Computer Visionen_US
dc.rights© The Institution of Engineering and Technology 2011en_US
dc.subject.otherBiometricsen_US
dc.subject.otherEqual error rateen_US
dc.subject.otherFootstep databaseen_US
dc.subject.otherFootstep recognitionen_US
dc.subject.otherFootstep signalsen_US
dc.subject.otherHigh heelsen_US
dc.subject.otherSupport vector machinesen_US
dc.subject.otherSignal processingen_US
dc.subject.otherSensorsen_US
dc.subject.otherPrincipal component analysisen_US
dc.titleAnalysis of spatial domain information for footstep recognitionen_US
dc.typearticleen
dc.subject.ecienciaInformáticaes_ES
dc.subject.ecienciaTelecomunicacioneses_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1049/iet-cvi.2010.0189
dc.identifier.doi10.1049/iet-cvi.2010.0189
dc.identifier.publicationfirstpage380
dc.identifier.publicationissue6
dc.identifier.publicationlastpage388
dc.identifier.publicationvolume5
dc.relation.projectIDComunidad de Madrid. S2009/TIC-1485/CONTEXTSen_US
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.contributor.groupAnálisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002)es_ES
dc.rights.accessRightsopenAccessen
dc.authorUAMFierrez Aguilar, Julián (261834)
dc.facultadUAMEscuela Politécnica Superior


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