

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All data from this project relating to athlete performances, e.g. Received: NovemAccepted: SeptemPublished: November 15, 2021Ĭopyright: © 2021 Needham et al. Peyré-Tartaruga, Universidade Federal do Rio Grande do Sul, BRAZIL Furthermore, they can be deployed into challenging, real world environments to non-invasively capture data where traditional approaches are infeasible.Ĭitation: Needham L, Evans M, Cosker DP, Colyer SL (2021) Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes.

The computer vision based methods tested in this research provide a viable alternative to marker-based motion capture systems. The observed asymmetries suggested that force production capabilities during ground contact were compromised for the outside leg. 0.22 m mean step length asymmetry) which were not present during sprinting (0.01 m step length asymmetry). There were large asymmetries between the inside and outside leg during pushing (e.g. 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. 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. Movement data were captured concurrently by a marker-based motion capture system and a custom markerless system. 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).
