A comparison of three methods for estimating vertical ground reaction forces in running

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dc.contributor.author Komaris, Dimitrios-Sokratis
dc.contributor.author Perez-Valero, Eduardo
dc.contributor.author Jordan, Luke
dc.contributor.author Barton, John
dc.contributor.author Hennesy, Liam
dc.contributor.author O'Flynn, Brendan
dc.contributor.author Tedesco, Salvatore
dc.date.accessioned 2020-08-12T11:30:50Z
dc.date.available 2020-08-12T11:30:50Z
dc.date.issued 2020-07
dc.identifier.citation Komaris, D. S., Perez-Valero, E., Jordan, L., Barton, J., Hennesy, L., O'Flynn, B. and Tedesco, S. (2020) ‘A comparison of three methods for estimating vertical ground reaction forces in running’, 38th International Society of Biomechanics in Sport Conference Physical conference, 20-24 July, ISBS Proceedings Archive, 38 (1) Article 14. Available at: https://commons.nmu.edu/isbs/vol38/iss1/14 en
dc.identifier.startpage 48 en
dc.identifier.endpage 51 en
dc.identifier.uri http://hdl.handle.net/10468/10387
dc.description.abstract The purpose of this study was to compare different approaches for the estimation of biomechanical loads in running. A neural network, a biomechanical model, and a two-mass model were tested on the same data set. The predictions of the neural network were highly accurate for all considered running speeds (average RMSE, 0.11 BW). The biomechanical model returned statistically similar results (p=0.113, 0.14 BW), but with increasing RMS errors at high running speeds. Finally, the two-mass model estimates were independent of running speed, but were the least accurate (RMSE, 0.18 BW). en
dc.description.sponsorship Enterprise Ireland and Setanta College (IP 2017 0606); Ireland's European Structural and Investment Programme 2014-2020; Science Foundation Ireland (under Grant number 12/RC/2289-P2 which is co-funded under the European Regional Development Fund) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher North Michigan University, NMU Commons en
dc.relation.uri https://commons.nmu.edu/isbs/vol38/iss1/14
dc.rights © Published by NMU Commons, 2020 en
dc.subject Artificial neural networks en
dc.subject Biomechanics en
dc.subject Motion analysis en
dc.subject Kinematics en
dc.title A comparison of three methods for estimating vertical ground reaction forces in running en
dc.type Conference item en
dc.internal.authorcontactother Salvatore Tedesco, Tyndall Micronano Electronics, University College Cork, Cork, Ireland. +353-21-490-3000 Email: salvatore.tedesco@tyndall.ie en
dc.internal.availability Full text available en
dc.date.updated 2020-08-12T10:58:03Z
dc.description.version Published Version en
dc.internal.rssid 531035643
dc.contributor.funder Enterprise Ireland en
dc.contributor.funder Setanta College, Ireland en
dc.contributor.funder European Regional Development Fund en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle ISBS Proceedings Archive en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Physical conference cancelled; Online en
dc.internal.IRISemailaddress salvatore.tedesco@tyndall.ie en
dc.internal.IRISemailaddress brendan.oflynn@tyndall.ie en
dc.internal.IRISemailaddress john.barton@tyndall.ie en
dc.identifier.articleid 14 en


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