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盛装舞步骑乘中的骑手与马的互动。

Horse-rider interaction in dressage riding.

机构信息

Department of Sport Science, Otto-von-Guericke-University Magdeburg, Brandenburgerstr. 9, 39104 Magdeburg, Germany.

出版信息

Hum Mov Sci. 2014 Feb;33:227-37. doi: 10.1016/j.humov.2013.09.003. Epub 2013 Nov 26.

Abstract

In dressage riding the pelvis of the rider interacts with the horse physically. However, there is little information about the influence of riding skill on the interaction of the human pelvis with the horse. Therefore this paper aims to study the interaction between horse and rider in professional riders (PRO) and beginners (BEG). Twenty riders rode in walk, trot, and canter in an indoor riding hall with inertial sensors attached to their pelvis and to the horses' trunk. Statistical analysis of waveform parameters, qualitative interpretation of angle-angle plots, and cross-correlation of horse and rider were applied to the data. Significant differences between PRO and BEG could be found for specific waveform parameters. Over all gaits PRO kept their pelvis closer to the mid-position and further forward whereas BEG tilted their pelvis further to the right and more backwards. The coupling intensity of horse and rider revealed differences between the gaits. Furthermore phase shifts were found between PRO and BEG. This paper describes a sensor-based approach for the investigation of interactions of the human pelvis with the trunk of a horse under in-field conditions. First the results show that the riding level influences the posture of a rider and secondly that differences can be detected with contemporary available sensor technology and methods.

摘要

在盛装舞步骑术中,骑手的骨盆与马的身体相互作用。然而,关于骑术技能对人体骨盆与马的相互作用的影响的信息很少。因此,本文旨在研究专业骑手(PRO)和初学者(BEG)中马和骑手之间的相互作用。二十名骑手在室内骑术馆中以步行、小跑和慢跑的速度骑行,骨盆和马的躯干上附有惯性传感器。对数据应用了波形参数的统计分析、角度-角度图的定性解释以及马和骑手的互相关。可以为特定的波形参数在 PRO 和 BEG 之间找到显著差异。在所有步态中,PRO 使他们的骨盆更靠近中间位置并向前,而 BEG 则将骨盆向右侧倾斜更多并向后倾斜。马和骑手的耦合强度揭示了步态之间的差异。此外,还发现了 PRO 和 BEG 之间的相位偏移。本文描述了一种基于传感器的方法,用于在现场条件下研究人体骨盆与马的躯干的相互作用。首先,结果表明,骑术水平会影响骑手的姿势,其次,现代可用的传感器技术和方法可以检测到差异。

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