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dc.creatorOtim, Timothyes_ES
dc.creatorDíez, Luis E.es_ES
dc.creatorBahillo, Alfonsoes_ES
dc.creatorLópez Iturri, Peioes_ES
dc.creatorFalcone Lanas, Francisco Javieres_ES
dc.date.accessioned2020-05-12T11:15:26Z
dc.date.available2020-05-12T11:15:26Z
dc.date.issued2019
dc.identifier.issn2079-9292
dc.identifier.urihttps://hdl.handle.net/2454/36867
dc.description.abstractOver the years, several Ultrawideband (UWB) localization systems have been proposed and evaluated for accurate estimation of the position for pedestrians. However, most of them are evaluated for a particular wearable sensor position; hence, the accuracy obtained is subject to a given wearable sensor position. This paper is focused on studying the effects of body wearable sensor positions i.e., chest, arm, ankle, wrist, thigh, forehead, and hand, on the localization accuracy. According to our results, the forehead and the chest provide the best and worst body sensor location for tracking a pedestrian, respectively. With the wearable sensor at the forehead and chest position, errors lower than 0.35 m (90th percentile) and 4 m can be obtained, respectively. The reason for such a contrast in the performance lies in the fact that, in non-line-of-sight (NLOS) situations, the chest generates the highest multipath of any part of the human body. Thus, the large errors obtained arise due to the signal arriving at the target wearable sensor by multiple reflections from interacting objects in the environment rather than by direct line-of-sight (LOS) or creeping wave propagation mechanism.en
dc.description.sponsorshipThis work was supported in part by the Research Training Grants Program of the University of Deusto, in part by REPNIN+ under Grant TEC2017-90808-REDT, in part by Ministerio de Ciencia, Innovación y Universidades, Gobierno de España under Grant RTI2018-095499-B-C31 (MCIU/AEI/FEDER, UE).en
dc.format.extent14 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofElectronics, 2019, 8 (11), 1351en
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectUltrawideband (UWB)en
dc.subjectLocalizationen
dc.subjectRangingen
dc.subjectBody wearable sensorsen
dc.subjectHuman body shadowingen
dc.titleEffects of the body wearable sensor position on the UWB localization accuracyen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.3390/electronics8111351
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/2PE/TEC2017-90808en
dc.relation.publisherversionhttps://doi.org/10.3390/electronics8111351
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license
La licencia del ítem se describe como © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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