A wearable system for the estimation of performance-related metrics during running and jumping tasks

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dc.contributor.authorTedesco, Salvatore
dc.contributor.authorAlfieri, Davide
dc.contributor.authorPerez-Valero, Eduardo
dc.contributor.authorKomaris, Dimitrios-Sokratis
dc.contributor.authorJordan, Luke
dc.contributor.authorBelcastro, Marco
dc.contributor.authorBarton, John
dc.contributor.authorHennessy, Liam
dc.contributor.authorO'Flynn, Brendan
dc.contributor.funderEnterprise Irelanden
dc.contributor.funderSetanta College Ltd., Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2021-06-25T11:42:48Z
dc.date.available2021-06-25T11:42:48Z
dc.date.issued2021-06-05
dc.date.updated2021-06-25T10:20:22Z
dc.description.abstractAthletic performance, technique assessment, and injury prevention are all important aspects in sports for both professional and amateur athletes. Wearable technology is attracting the research community’s interest because of its capability to provide real-time biofeedback to coaches and athletes when on the field and outside of more restrictive laboratory conditions. In this paper, a novel wearable motion sensor-based system has been designed and developed for athletic performance assessment during running and jumping tasks. The system consists of a number of components involving embedded systems (hardware and software), back-end analytics, information and communications technology (ICT) platforms, and a graphical user interface for data visualization by the coach. The system is able to provide automatic activity recognition, estimation of running and jumping metrics, as well as vertical ground reaction force (GRF) predictions, with sufficient accuracy to provide valuable information as regards training outcomes. The developed system is low-power, sufficiently small for real-world scenarios, easy to use, and achieves the specified communication range. The system’s high sampling rate, levels of accuracy and performance enables it as a performance evaluation tool able to support coaches and athletes in their real-world practice.en
dc.description.sponsorshipEnterprise Ireland and Setanta College Ltd. (grant agreement no. IP 2017 0606); European Regional Development Fund (ERDF co-funded under Ireland’s European Structural and Investment Funds Programmes 2014–2020); Science Foundation Ireland (Grant number 12/RC/2289-P2 INSIGHT-2 which is co-funded under the ERDF)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid5258en
dc.identifier.citationTedesco, S., Alfieri, D., Perez-Valero, E., Komaris, D.-S., Jordan, L., Belcastro, M., Barton, J., Hennessy, L. and O’Flynn, B. (2021) 'A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping Tasks', Applied Sciences, 11(11), 5258 (23 pp). doi: 10.3390/app11115258en
dc.identifier.doi10.3390/app11115258en
dc.identifier.endpage23en
dc.identifier.issn2076-3417
dc.identifier.issued11en
dc.identifier.journaltitleApplied Sciences-Baselen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/11491
dc.identifier.volume11en
dc.language.isoenen
dc.publisherMDPIen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.relation.urihttps://www.mdpi.com/2076-3417/11/11/5258
dc.rights© 2021 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) license (https://creativecommons.org/licenses/by/4.0/).en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectAccelerometeren
dc.subjectGRFen
dc.subjectGround reaction forceen
dc.subjectIMUen
dc.subjectInertial measurement uniten
dc.subjectJumpingen
dc.subjectPerformanceen
dc.subjectRunningen
dc.subjectSporten
dc.subjectWearablesen
dc.titleA wearable system for the estimation of performance-related metrics during running and jumping tasksen
dc.typeArticle (peer-reviewed)en
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