title: Estimation of hurdle clearance parameters using a monocular human motion tracking method.
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.
authors.affiliation: a Faculty of Electrical and Computer Engineering , Rzeszow University of Technology , Rzeszow , Poland .
authors.forename: Tomasz
authors.initials: T
authors.lastname: Krzeszowski
authors.affiliation: b Faculty of Physical Education , University of Rzeszow , Rzeszow , Poland .
authors.forename: Krzysztof
authors.initials: K
authors.lastname: Przednowek
authors.affiliation: a Faculty of Electrical and Computer Engineering , Rzeszow University of Technology , Rzeszow , Poland .
authors.forename: Krzysztof
authors.initials: K
authors.lastname: Wiktorowicz
authors.affiliation: c Faculty of Physical Education and Physiotherapy , Opole University of Technology , Opole , Poland .
authors.forename: Janusz
authors.initials: J
authors.lastname: Iskra
mesh_terms: D000465:Algorithms; D001696:Biomechanical Phenomena; D006801:Humans; D007700:Kinetics; D009038:Motion; D010827:Physiology / Q000379:methods*; D013177:Sports
keywords: Hurdle clearance; human motion tracking; kinematics parameters; monocular tracking; particle swarm optimization