Predicting ground reaction forces from 2D video: Bridging the lab to field nexus

Molly Goldacre, Amar El-Sallam Abd, Hannah Wyatt, Will Johnson, Jian Liu, Ajmal Mian, Jacqueline Alderson

Research output: Chapter in Book/Conference paperConference paperpeer-review


The accurate measurement of ground reaction forces (GRFs) is confined to laboratory- based settings, posing an ongoing problem for sports biomechanists working in the field given the necessity of this variable for a variety of biomechanical modelling approaches. The ability to remote estimate on-field GRFs could facilitate the development of a tool that could positively impact the side-line management of athletes during match play. Using laboratory collected GRF side stepping and running data, alongside concurrently collected two-dimensional (2D) video, the aim of this study was to use a least squares estimator (LSE) matrix to estimate GRFs from 2D video. Results of r>0.8 were found for the vertical and horizontal GRF components which was slightly lower than the r>0.9 observed for the higher complexity convolutional neural network (CNN) approach which was used as a comparator model. These results provide early support for the efficacy of remote on-field estimation of GRFs determined from 2D video footage in isolation.
Original languageEnglish
Title of host publicationISBS Conference 2021
Place of PublicationUSA
PublisherInternational Society of Biomechanics in Sports
Publication statusPublished - 6 Sep 2021
Event39th International Society of Biomechanics in Sport Conference - Virtual, Canberra, Australia
Duration: 3 Sep 20216 Sep 2021

Publication series

NameISBS Proceedings Archive


Conference39th International Society of Biomechanics in Sport Conference


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