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/267d56467c694d5c8b8494c62c1efea9
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spelling	oai:doaj.org-article:267d56467c694d5c8b8494c62c1efea92021-12-02T20:13:08ZDevelopment, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes.1932-620310.1371/journal.pone.0259624https://doaj.org/article/267d56467c694d5c8b8494c62c1efea92021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259624https://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, p e0259624 (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/267d56467c694d5c8b8494c62c1efea9
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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