Efficient upper limb position estimation based on angular displacement sensors for wearable devices

Motion tracking techniques have been extensively studied in recent years. However, capturing movements of the upper limbs is a challenging task. This document presents the estimation of arm orientation and elbow and wrist position using wearable flexible sensors (WFSs). A study was developed to obta...

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Autores: Contreras-González, Aldo-Francisco, Ferre, Manuel, Sánchez-Urán, Miguel Ángel, Sáez-Sáez, Francisco Javier, Blaya Haro, Fernando
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/230580
Acceso en línea:http://hdl.handle.net/10261/230580
Access Level:acceso abierto
Palabra clave:Motion capture
Soft angular displacement sensors
Upper limb
Motion tracking
Wearable sensors
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spelling Efficient upper limb position estimation based on angular displacement sensors for wearable devicesContreras-González, Aldo-FranciscoFerre, ManuelSánchez-Urán, Miguel ÁngelSáez-Sáez, Francisco JavierBlaya Haro, FernandoMotion captureSoft angular displacement sensorsUpper limbMotion trackingWearable sensorsMotion tracking techniques have been extensively studied in recent years. However, capturing movements of the upper limbs is a challenging task. This document presents the estimation of arm orientation and elbow and wrist position using wearable flexible sensors (WFSs). A study was developed to obtain the highest range of motion (ROM) of the shoulder with as few sensors as possible, and a method for estimating arm length and a calibration procedure was proposed. Performance was verified by comparing measurement of the shoulder joint angles obtained from commercial two-axis soft angular displacement sensors (sADS) from Bend Labs and from the ground truth system (GTS) OptiTrack. The global root-mean-square error (RMSE) for the shoulder angle is 2.93 degrees and 37.5 mm for the position estimation of the wrist in cyclical movements; this measure of RMSE was improved to 13.6 mm by implementing a gesture classifier.This work has been partially supported by the project “LUXBIT: Lightweight Upper limbs eXosuit for BImanual Task Enhancement” under RTI2018-094346-B-I00 grant, funded by the Spanish “Ministerio de Ciencia, Innovación y Universidades”.Peer reviewedMolecular Diversity Preservation InternationalMinisterio de Ciencia, Innovación y Universidades (España)Contreras-González, Aldo-Francisco [0000-0003-0627-1832]Ferre, Manuel [0000-0003-0030-1551]Sánchez-Urán, Miguel Ángel [0000-0001-6652-0090]Sáez-Sáez, Francisco Javier [0000-0002-9750-8606]Blaya Haro, Fernando [0000-0001-9151-9067]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202120212020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/230580reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094346-B-I00https://doi.org/10.3390/s20226452Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2305802026-05-22T06:33:51Z
dc.title.none.fl_str_mv Efficient upper limb position estimation based on angular displacement sensors for wearable devices
title Efficient upper limb position estimation based on angular displacement sensors for wearable devices
spellingShingle Efficient upper limb position estimation based on angular displacement sensors for wearable devices
Contreras-González, Aldo-Francisco
Motion capture
Soft angular displacement sensors
Upper limb
Motion tracking
Wearable sensors
title_short Efficient upper limb position estimation based on angular displacement sensors for wearable devices
title_full Efficient upper limb position estimation based on angular displacement sensors for wearable devices
title_fullStr Efficient upper limb position estimation based on angular displacement sensors for wearable devices
title_full_unstemmed Efficient upper limb position estimation based on angular displacement sensors for wearable devices
title_sort Efficient upper limb position estimation based on angular displacement sensors for wearable devices
dc.creator.none.fl_str_mv Contreras-González, Aldo-Francisco
Ferre, Manuel
Sánchez-Urán, Miguel Ángel
Sáez-Sáez, Francisco Javier
Blaya Haro, Fernando
author Contreras-González, Aldo-Francisco
author_facet Contreras-González, Aldo-Francisco
Ferre, Manuel
Sánchez-Urán, Miguel Ángel
Sáez-Sáez, Francisco Javier
Blaya Haro, Fernando
author_role author
author2 Ferre, Manuel
Sánchez-Urán, Miguel Ángel
Sáez-Sáez, Francisco Javier
Blaya Haro, Fernando
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia, Innovación y Universidades (España)
Contreras-González, Aldo-Francisco [0000-0003-0627-1832]
Ferre, Manuel [0000-0003-0030-1551]
Sánchez-Urán, Miguel Ángel [0000-0001-6652-0090]
Sáez-Sáez, Francisco Javier [0000-0002-9750-8606]
Blaya Haro, Fernando [0000-0001-9151-9067]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Motion capture
Soft angular displacement sensors
Upper limb
Motion tracking
Wearable sensors
topic Motion capture
Soft angular displacement sensors
Upper limb
Motion tracking
Wearable sensors
description Motion tracking techniques have been extensively studied in recent years. However, capturing movements of the upper limbs is a challenging task. This document presents the estimation of arm orientation and elbow and wrist position using wearable flexible sensors (WFSs). A study was developed to obtain the highest range of motion (ROM) of the shoulder with as few sensors as possible, and a method for estimating arm length and a calibration procedure was proposed. Performance was verified by comparing measurement of the shoulder joint angles obtained from commercial two-axis soft angular displacement sensors (sADS) from Bend Labs and from the ground truth system (GTS) OptiTrack. The global root-mean-square error (RMSE) for the shoulder angle is 2.93 degrees and 37.5 mm for the position estimation of the wrist in cyclical movements; this measure of RMSE was improved to 13.6 mm by implementing a gesture classifier.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/230580
url http://hdl.handle.net/10261/230580
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094346-B-I00
https://doi.org/10.3390/s20226452
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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