THE ANALYSIS OF HURDLING STEPS USING AN ALGORITHM OF COMPUTER VISION: THE CASE OF A WELL-TRAINED ATHLETE

Journal Title: Medycyna Sportowa - Year 2014, Vol 30, Issue 4

Abstract

[b]Background.[/b] In this paper, a markerless method for tracking the motion of a person as a tool to estimate kinematic parameters of a hurdling step was used. [b]Material and methods.[/b] The study is conducted on a hurdler of top sports level. Video sequence recording was conducted in simulated conditions of the start in 110 m hurdle race. Kinematic parameters were determined on the basis of the analysis of image sequences recorded using a single camera with the frequency of 100 Hz. The method proposed in this paper does not require any custom-designed clothes, markers or other technologies facilitating estimation. [b]Results.[/b] In this study, we present quantitative data on 21 kinematic parameters and their variability throughout the hurdling step. The results confirmed a high level of sports form of the athlete subjected to the study. [b]Conclusions.[/b] The proposed method used to estimate kinematic parameters may be used in the assessment of progress in the training of hurdlers, notably in terms of technique preparation.

Authors and Affiliations

Krzysztof Przednowek, Janusz Iskra, Tomasz Krzeszowski

Keywords

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  • EP ID EP56054
  • DOI -
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How To Cite

Krzysztof Przednowek, Janusz Iskra, Tomasz Krzeszowski (2014). THE ANALYSIS OF HURDLING STEPS USING AN ALGORITHM OF COMPUTER VISION: THE CASE OF A WELL-TRAINED ATHLETE. Medycyna Sportowa, 30(4), -. https://europub.co.uk/articles/-A-56054