Effects of the body wearable sensor position on the UWB localization accuracy

Over 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...

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Autores: Otim, Timothy, Díez, Luis E., Bahillo, Alfonso, Iturri López, Peio, Falcone Lanas, Francisco
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2019
País:España
Recursos:Universidad Pública de Navarra
Repositório:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/36867
Acesso em linha:https://hdl.handle.net/2454/36867
Access Level:Acceso aberto
Palavra-chave:Ultrawideband (UWB)
Localization
Ranging
Body wearable sensors
Human body shadowing
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spelling Effects of the body wearable sensor position on the UWB localization accuracyOtim, TimothyDíez, Luis E.Bahillo, AlfonsoIturri López, PeioFalcone Lanas, FranciscoUltrawideband (UWB)LocalizationRangingBody wearable sensorsHuman body shadowingOver 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.This 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).MDPIIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio IngeniaritzarenInstitute of Smart Cities - ISCIngeniería Eléctrica, Electrónica y de Comunicación2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/36867reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/ES/2PE/TEC2017-90808© 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) licensehttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/368672026-06-17T12:41:47Z
dc.title.none.fl_str_mv Effects of the body wearable sensor position on the UWB localization accuracy
title Effects of the body wearable sensor position on the UWB localization accuracy
spellingShingle Effects of the body wearable sensor position on the UWB localization accuracy
Otim, Timothy
Ultrawideband (UWB)
Localization
Ranging
Body wearable sensors
Human body shadowing
title_short Effects of the body wearable sensor position on the UWB localization accuracy
title_full Effects of the body wearable sensor position on the UWB localization accuracy
title_fullStr Effects of the body wearable sensor position on the UWB localization accuracy
title_full_unstemmed Effects of the body wearable sensor position on the UWB localization accuracy
title_sort Effects of the body wearable sensor position on the UWB localization accuracy
dc.creator.none.fl_str_mv Otim, Timothy
Díez, Luis E.
Bahillo, Alfonso
Iturri López, Peio
Falcone Lanas, Francisco
author Otim, Timothy
author_facet Otim, Timothy
Díez, Luis E.
Bahillo, Alfonso
Iturri López, Peio
Falcone Lanas, Francisco
author_role author
author2 Díez, Luis E.
Bahillo, Alfonso
Iturri López, Peio
Falcone Lanas, Francisco
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
Institute of Smart Cities - ISC
Ingeniería Eléctrica, Electrónica y de Comunicación
dc.subject.none.fl_str_mv Ultrawideband (UWB)
Localization
Ranging
Body wearable sensors
Human body shadowing
topic Ultrawideband (UWB)
Localization
Ranging
Body wearable sensors
Human body shadowing
description Over 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.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/36867
url https://hdl.handle.net/2454/36867
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/ES/2PE/TEC2017-90808
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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