Indirect measurement of ground reaction forces and moments by means of wearable inertial sensors: A systematic review

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dc.contributor.author Ancillao, Andrea
dc.contributor.author Tedesco, Salvatore
dc.contributor.author Barton, John
dc.contributor.author O'Flynn, Brendan
dc.date.accessioned 2018-09-27T12:08:27Z
dc.date.available 2018-09-27T12:08:27Z
dc.date.issued 2018
dc.identifier.citation Ancillao, A., Tedesco, S., Barton, J. and O’Flynn, B. (2018) 'Indirect measurement of ground reaction forces and moments by means of wearable inertial sensors: A systematic review', Sensors, 18(8), 2564 (34pp). doi: 10.3390/s18082564 en
dc.identifier.volume 18
dc.identifier.issued 8
dc.identifier.startpage 1
dc.identifier.endpage 34
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10468/6952
dc.identifier.doi 10.3390/s18082564
dc.description.abstract In the last few years, estimating ground reaction forces by means of wearable sensors has come to be a challenging research topic paving the way to kinetic analysis and sport performance testing outside of labs. One possible approach involves estimating the ground reaction forces from kinematic data obtained by inertial measurement units (IMUs) worn by the subject. As estimating kinetic quantities from kinematic data is not an easy task, several models and protocols have been developed over the years. Non-wearable sensors, such as optoelectronic systems along with force platforms, remain the most accurate systems to record motion. In this review, we identified, selected and categorized the methodologies for estimating the ground reaction forces from IMUs as proposed across the years. Scopus, Google Scholar, IEEE Xplore, and PubMed databases were interrogated on the topic of Ground Reaction Forces estimation based on kinematic data obtained by IMUs. The identified papers were classified according to the methodology proposed: (i) methods based on direct modelling; (ii) methods based on machine learning. The methods based on direct modelling were further classified according to the task studied (walking, running, jumping, etc.). Finally, we comparatively examined the methods in order to identify the most reliable approaches for the implementation of a ground reaction force estimator based on IMU data. en
dc.description.sponsorship Enterprise Ireland/ Setanta College Ltd (IP 2017 0606); en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher MDPI en
dc.relation.uri http://www.mdpi.com/1424-8220/18/8/2564
dc.rights © 2018, 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 (http://creativecommons.org/licenses/by/4.0/). en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject Biomechanical modelling en
dc.subject Ground reaction forces en
dc.subject Inertial measurements en
dc.subject Inertial measurement units (imu) en
dc.subject Kinetics en
dc.subject Machine learning en
dc.subject Wearable sensors en
dc.title Indirect measurement of ground reaction forces and moments by means of wearable inertial sensors: A systematic review en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Andrea Ancillao, Tyndall National Institute, University College Cork, Cork, Ireland. +353-21-490-3000 Email: andrea.ancillao@tyndall.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder Enterprise Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Sensors en
dc.internal.IRISemailaddress andrea.ancillao@tyndall.ie en
dc.identifier.articleid 2564
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/


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© 2018, 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 (http://creativecommons.org/licenses/by/4.0/). Except where otherwise noted, this item's license is described as © 2018, 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 (http://creativecommons.org/licenses/by/4.0/).
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