A comparison of three methods for estimating vertical ground reaction forces in running
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.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.date.accessioned | 2020-08-12T11:30:50Z | |
dc.date.available | 2020-08-12T11:30:50Z | |
dc.date.issued | 2020-07 | |
dc.date.updated | 2020-08-12T10:58:03Z | |
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.description.status | Peer reviewed | en |
dc.description.version | Published Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.articleid | 14 | en |
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.endpage | 51 | en |
dc.identifier.journaltitle | ISBS Proceedings Archive | en |
dc.identifier.startpage | 48 | en |
dc.identifier.uri | https://hdl.handle.net/10468/10387 | |
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 |
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