Estimation of Ground Reaction Forces in running via deep learning models: a comparative analysis

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dc.contributor.authorTedesco, Salvatoreen
dc.contributor.authorAhern, Sean Francisen
dc.contributor.authorO'Flynn, Brendanen
dc.contributor.funderResearch Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2025-11-13T11:28:24Z
dc.date.available2025-11-13T11:28:24Z
dc.date.issued2025-09-04en
dc.description.abstractGround Reaction Forces (GRFs) are fundamental to the analysis of running biomechanics and play a critical role in performance assessment, injury prevention, and rehabilitation [1]. While GRFs are traditionally measured using expensive and non-portable systems such as instrumented treadmills, there is growing interest in more accessible, scalable alternatives [2]. Inertial Measurement Units (IMUs), which record acceleration, angular velocity, and orientation, have demonstrated potential in this context [3-5]. Recent research has applied deep learning techniques to estimate GRFs from IMU-derived kinematic data [4-6]; however, a standardized benchmark for comparing different models using a publicly available dataset remains absent, limiting reproducibility and cross-study evaluation.en
dc.description.sponsorshipResearch Ireland (12/RC/2289-2; 13/RC/2077)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationTedesco, S., Ahern, S. F. and O'Flynn, B. (2025) 'Estimation of Ground Reaction Forces in running via deep learning models: a comparative analysis', Gait & Posture, 121, pp.242-244. https://doi.org/10.1016/j.gaitpost.2025.07.260en
dc.identifier.doi10.1016/j.gaitpost.2025.07.260en
dc.identifier.endpage244en
dc.identifier.issn0966-6362en
dc.identifier.journaltitleGait & Postureen
dc.identifier.startpage242en
dc.identifier.urihttps://hdl.handle.net/10468/18202
dc.identifier.volume121en
dc.language.isoenen
dc.publisherElsevier B.V.en
dc.relation.ispartofGait & Postureen
dc.rights© 2025, Elsevier B.V. For the purpose of Open Access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectGround Reaction Forces (GRFs)en
dc.subjectRunning biomechanicsen
dc.subjectPerformance assessmenten
dc.subjectInjury preventionen
dc.titleEstimation of Ground Reaction Forces in running via deep learning models: a comparative analysisen
dc.typeArticle (peer-reviewed)en
dc.typejournal-articleen
oaire.citation.volume121en
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