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dc.creatorOtim, Timothyes_ES
dc.creatorBahillo, Alfonsoes_ES
dc.creatorDíez, Luis E.es_ES
dc.creatorLópez Iturri, Peioes_ES
dc.creatorFalcone Lanas, Francisco Javieres_ES
dc.date.accessioned2020-06-05T10:28:33Z
dc.date.available2020-08-20T23:00:14Z
dc.date.issued2019
dc.identifier.citationT. Otim, A. Bahillo, L. E. Díez, P. Lopez-Iturri and F. Falcone, 'Impact of Body Wearable Sensor Positions on UWB Ranging,' in IEEE Sensors Journal, vol. 19, no. 23, pp. 11449-11457, 1 Dec.1, 2019, doi: 10.1109/JSEN.2019.2935634.en
dc.identifier.issn1530-437X
dc.identifier.urihttps://hdl.handle.net/2454/37094
dc.description.abstractIn recent years, Ultrawideband (UWB) has become a very popular technology for time of flight (TOF) based localization and tracking applications but its human body interactions have not been studied yet extensively. Most UWB systems already proposed for pedestrian ranging have only been individually evaluated for a particular wearable sensor position. It is observed that wearable sensors mounted on or close to the human body can raise line-of-sight (LOS), quasi-line-of-sight (QLOS), and non-line-of-sight (NLOS) scenarios leading to significant ranging errors depending on the relative heading angle (RHA) between the pedestrian, wearable sensor, and anchors. In this paper, it is presented that not only does the ranging error depend on the RHA, but on the position of the wearable sensors on the pedestrian. Seven wearable sensor locations namely, fore-head, hand, chest, wrist, arm, thigh and ankle are evaluated and a fair comparison is made through extensive measurements and experiments in a multipath environment. Using the direction in which the pedestrian is facing, the RHA between the pedestrian, wearable sensor, and anchors is computed. For each wearable sensor location, an UWB ranging error model with respect to the human body shadowing effect is proposed. A final conclusion is drawn that among the aforementioned wearable locations, the fore-head provides the best range estimate because it is able to set low mean range errors of about 20 cm in multipath conditions. The fore-head's performance is followed by the hand, wrist, ankle, arm, thigh, and chest in that order.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 and in part by Ministerio de Ciencia, Innovación y Universidades, Gobierno de España under Grant RTI2018-095499-B-C31.en
dc.format.extent32 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Sensors Journal, 2019, 19 (23), 11449-11457en
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.en
dc.subjectUltrawideband (UWB)en
dc.subjectTime of flight (TOF)en
dc.subjectRangingen
dc.subjectHuman body shadowingen
dc.subjectWearable sensorsen
dc.titleImpact of body wearable sensor positions on UWB rangingen
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.embargo.terms2020-08-20
dc.identifier.doi10.1109/JSEN.2019.2935634
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/2PE/TEC2017-90808en
dc.relation.publisherversionhttps://doi.org/10.1109/JSEN.2019.2935634
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.type.versionVersión aceptada / Onetsi den bertsioaes


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