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dc.creatorRamón Brena Pinero
dc.date2014
dc.date.accessioned2018-10-18T21:21:52Z
dc.date.available2018-10-18T21:21:52Z
dc.identifier.issn18770509
dc.identifier.doi10.1016/j.procs.2014.08.009
dc.identifier.urihttp://hdl.handle.net/11285/630418
dc.descriptionIn our previous work, we proposed an approach that consists in using feature extraction to reduce the magnetic-field signal data to generate a signature, which can be used to estimate the user location in an indoor environment. Each signature contains 10 seconds of magnetic-field data. In this paper, we investigate whether by reducing the time signature length decrease or not the accuracy of the indoor location system (ILS). In order to find out, we perform experiments in two indoor environments: an office building and a residential home. In both environments, we collect information of the magnetic-field and we variate the fingerprint length in 0.1, 1, 2, 5 and 10 seconds, to verify whether its length affects the accuracy of the ILS Model. The results indicate that signature length is an important issue to be considered in the development of the ILS, since it does affect the accuracy of the system. © 2014 The Authors.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84930354838&doi=10.1016%2fj.procs.2014.08.009&partnerID=40&md5=553c0f4229203cbfa20e746b8f8687e0
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceProcedia Computer Science
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleFingerprint time length reduction for developing an indoor location model for smartphones
dc.typeConferencia
dc.identifier.volume37
dc.identifier.startpage32
dc.identifier.endpage39
refterms.dateFOA2018-10-18T21:21:52Z


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