Inertial Sensors for Human Motion Analysis: A Comprehensive Review

Inertial motion analysis is having a growing interest during the last decades due to its advantages over classical optical systems. The technological solution based on inertial measurement units allows the measurement of movements in daily living environments, such as in everyday life, which is key...

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Autores: Garcia-De-Villa, Sara, Casillas-Perez, David, Jimenez-Martin, Ana, Garcia-Dominguez, Juan Jesus
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/369033
Acceso en línea:http://hdl.handle.net/10261/369033
Access Level:acceso abierto
Palabra clave:Human motion
inertial sensors
inertial measurement units (IMUs)
kinematic analysis
motion analysis
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spelling Inertial Sensors for Human Motion Analysis: A Comprehensive ReviewGarcia-De-Villa, SaraCasillas-Perez, DavidJimenez-Martin, AnaGarcia-Dominguez, Juan JesusHuman motioninertial sensorsinertial measurement units (IMUs)kinematic analysismotion analysisInertial motion analysis is having a growing interest during the last decades due to its advantages over classical optical systems. The technological solution based on inertial measurement units allows the measurement of movements in daily living environments, such as in everyday life, which is key for a realistic assessment and understanding of movements. This is why research in this field is still developing and different approaches are proposed. This presents a systematic review of the different proposals for inertial motion analysis found in the literature. The search strategy has been carried out on eight different platforms, including journal articles and conference proceedings, which are written in English and published until August 2022. The results are analyzed in terms of the publishers, the sensors used, the applications, the monitored units, the algorithms of use, the participants of the studies, and the validation systems employed. In addition, we delve deeply into the machine learning techniques proposed in recent years and in the approaches to reduce the estimation error. In this way, we show an overview of the research carried out in this field, going into more detail in recent years, and providing some research directions for future work.This work was supported in part by the Junta de Comunidades de Castilla La Mancha through the FrailAlert project under Grant SBPLY/21/180501/000216, in part by the Spanish Ministry of Science and Innovation through the INDRI project under Grant PID2021-122642OBC41, in part by the Comunidad de Madrid through the RACC project under Grant CM/JIN/2021-016, and in part by the NEXTPERCEPTION European Union project funded by ECSEL Joint Undertaking (JU) under Grant Agreement 876487 (ECSEL-2019-2-RIA).Peer reviewedInstitute of Electrical and Electronics EngineersComunidad de MadridMinisterio de Ciencia e Innovación (España)European CommissionGarcia-De-Villa, Sara [0000-0002-7054-5810]Casillas-Perez, David [0000-0002-5721-1242]Jimenez-Martin, Ana [0000-0003-0713-0054]Garcia-Dominguez, Juan Jesus [0000-0002-7121-8651]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/369033reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/ 10.1109/TIM.2023.3276528Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3690332026-05-22T06:33:51Z
dc.title.none.fl_str_mv Inertial Sensors for Human Motion Analysis: A Comprehensive Review
title Inertial Sensors for Human Motion Analysis: A Comprehensive Review
spellingShingle Inertial Sensors for Human Motion Analysis: A Comprehensive Review
Garcia-De-Villa, Sara
Human motion
inertial sensors
inertial measurement units (IMUs)
kinematic analysis
motion analysis
title_short Inertial Sensors for Human Motion Analysis: A Comprehensive Review
title_full Inertial Sensors for Human Motion Analysis: A Comprehensive Review
title_fullStr Inertial Sensors for Human Motion Analysis: A Comprehensive Review
title_full_unstemmed Inertial Sensors for Human Motion Analysis: A Comprehensive Review
title_sort Inertial Sensors for Human Motion Analysis: A Comprehensive Review
dc.creator.none.fl_str_mv Garcia-De-Villa, Sara
Casillas-Perez, David
Jimenez-Martin, Ana
Garcia-Dominguez, Juan Jesus
author Garcia-De-Villa, Sara
author_facet Garcia-De-Villa, Sara
Casillas-Perez, David
Jimenez-Martin, Ana
Garcia-Dominguez, Juan Jesus
author_role author
author2 Casillas-Perez, David
Jimenez-Martin, Ana
Garcia-Dominguez, Juan Jesus
author2_role author
author
author
dc.contributor.none.fl_str_mv Comunidad de Madrid
Ministerio de Ciencia e Innovación (España)
European Commission
Garcia-De-Villa, Sara [0000-0002-7054-5810]
Casillas-Perez, David [0000-0002-5721-1242]
Jimenez-Martin, Ana [0000-0003-0713-0054]
Garcia-Dominguez, Juan Jesus [0000-0002-7121-8651]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Human motion
inertial sensors
inertial measurement units (IMUs)
kinematic analysis
motion analysis
topic Human motion
inertial sensors
inertial measurement units (IMUs)
kinematic analysis
motion analysis
description Inertial motion analysis is having a growing interest during the last decades due to its advantages over classical optical systems. The technological solution based on inertial measurement units allows the measurement of movements in daily living environments, such as in everyday life, which is key for a realistic assessment and understanding of movements. This is why research in this field is still developing and different approaches are proposed. This presents a systematic review of the different proposals for inertial motion analysis found in the literature. The search strategy has been carried out on eight different platforms, including journal articles and conference proceedings, which are written in English and published until August 2022. The results are analyzed in terms of the publishers, the sensors used, the applications, the monitored units, the algorithms of use, the participants of the studies, and the validation systems employed. In addition, we delve deeply into the machine learning techniques proposed in recent years and in the approaches to reduce the estimation error. In this way, we show an overview of the research carried out in this field, going into more detail in recent years, and providing some research directions for future work.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
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/10261/369033
url http://hdl.handle.net/10261/369033
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/ 10.1109/TIM.2023.3276528
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
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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score 15,81155

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