Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes

This study describes the development, evaluation and application of a computer vision and deep learning system capable of capturing sprinting and skeleton push start step characteristics and mass centre velocities (sled and athlete). Movement data were captured concurrently by a marker-based motion...

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Autores principales:	Laurie Needham, Murray Evans, Darren P. Cosker, Steffi L. Colyer
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8bf18c21444d482f98e60519812360e5
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spelling	oai:doaj.org-article:8bf18c21444d482f98e60519812360e52021-11-25T05:54:24ZDevelopment, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes1932-6203https://doaj.org/article/8bf18c21444d482f98e60519812360e52021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592484/?tool=EBIhttps://doaj.org/toc/1932-6203This study describes the development, evaluation and application of a computer vision and deep learning system capable of capturing sprinting and skeleton push start step characteristics and mass centre velocities (sled and athlete). Movement data were captured concurrently by a marker-based motion capture system and a custom markerless system. High levels of agreement were found between systems, particularly for spatial based variables (step length error 0.001 ± 0.012 m) while errors for temporal variables (ground contact time and flight time) were on average within ± 1.5 frames of the criterion measures. Comparisons of sprinting and pushing revealed decreased mass centre velocities as a result of pushing the sled but step characteristics were comparable to sprinting when aligned as a function of step velocity. There were large asymmetries between the inside and outside leg during pushing (e.g. 0.22 m mean step length asymmetry) which were not present during sprinting (0.01 m step length asymmetry). The observed asymmetries suggested that force production capabilities during ground contact were compromised for the outside leg. The computer vision based methods tested in this research provide a viable alternative to marker-based motion capture systems. Furthermore, they can be deployed into challenging, real world environments to non-invasively capture data where traditional approaches are infeasible.Laurie NeedhamMurray EvansDarren P. CoskerSteffi L. ColyerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Laurie Needham Murray Evans Darren P. Cosker Steffi L. Colyer Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes
description	This study describes the development, evaluation and application of a computer vision and deep learning system capable of capturing sprinting and skeleton push start step characteristics and mass centre velocities (sled and athlete). Movement data were captured concurrently by a marker-based motion capture system and a custom markerless system. High levels of agreement were found between systems, particularly for spatial based variables (step length error 0.001 ± 0.012 m) while errors for temporal variables (ground contact time and flight time) were on average within ± 1.5 frames of the criterion measures. Comparisons of sprinting and pushing revealed decreased mass centre velocities as a result of pushing the sled but step characteristics were comparable to sprinting when aligned as a function of step velocity. There were large asymmetries between the inside and outside leg during pushing (e.g. 0.22 m mean step length asymmetry) which were not present during sprinting (0.01 m step length asymmetry). The observed asymmetries suggested that force production capabilities during ground contact were compromised for the outside leg. The computer vision based methods tested in this research provide a viable alternative to marker-based motion capture systems. Furthermore, they can be deployed into challenging, real world environments to non-invasively capture data where traditional approaches are infeasible.
format	article
author	Laurie Needham Murray Evans Darren P. Cosker Steffi L. Colyer
author_facet	Laurie Needham Murray Evans Darren P. Cosker Steffi L. Colyer
author_sort	Laurie Needham
title	Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes
title_short	Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes
title_full	Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes
title_fullStr	Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes
title_full_unstemmed	Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes
title_sort	development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/8bf18c21444d482f98e60519812360e5
work_keys_str_mv	AT laurieneedham developmentevaluationandapplicationofanovelmarkerlessmotionanalysissystemtounderstandpushstarttechniqueineliteskeletonathletes AT murrayevans developmentevaluationandapplicationofanovelmarkerlessmotionanalysissystemtounderstandpushstarttechniqueineliteskeletonathletes AT darrenpcosker developmentevaluationandapplicationofanovelmarkerlessmotionanalysissystemtounderstandpushstarttechniqueineliteskeletonathletes AT steffilcolyer developmentevaluationandapplicationofanovelmarkerlessmotionanalysissystemtounderstandpushstarttechniqueineliteskeletonathletes
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Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes

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