Estimation of hurdle clearance parameters using a monocular human motion tracking method

Computer Methods in Biomechanics and Biomedical Engineering
Tomasz KrzeszowskiJanusz Iskra

Abstract

This paper presents a method of monocular human motion tracking for estimation of hurdle clearance kinematic parameters. The analysis involved 10 image sequences of five hurdlers at various training levels. Recording of the sequences was carried out under simulated starting conditions of a 110 m hurdle race. The parameters were estimated using the particle swarm optimization algorithm and they are based on analysis of the images recorded with a 100 Hz camera. The proposed method does not involve using any special clothes, markers, inertial sensors, etc. As the quality criteria, the mean absolute error and mean relative error were used. The level of computed errors justifies the use of this method to estimate hurdle clearance parameters.

References

Feb 1, 1997·Medicine and Science in Sports and Exercise·A SaloL Marar
Dec 17, 2010·Computer Methods in Biomechanics and Biomedical Engineering·Ricardo M L BarrosSiome K Goldenstein
Feb 15, 2011·Human Movement Science·Mark Pfeiffer, Andreas Hohmann
Oct 11, 2011·Annals of Biomedical Engineering·Alison L SheetsThomas P Andriacchi
Feb 19, 2013·Biomedit︠s︡inskai︠a︡ khimii︠a︡·R Ia Iskra, V G Ianovich

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