利用运动学数据确定跑步机运动中的足离地事件时间。
Determination of toe-off event time during treadmill locomotion using kinematic data.
机构信息
Wyle Integrated Science and Engineering Group, NASA Johnson Space Center, Hercules, Ste 120, Houston, TX 77058, USA.
出版信息
J Biomech. 2010 Nov 16;43(15):3067-9. doi: 10.1016/j.jbiomech.2010.07.009.
Researchers collecting gait kinematic data during treadmill locomotion are often interested in determining the times of toe off and heel strike for each stride. In the absence of additional hardware, only position data collected with motion-capture equipment may be available. Others have published methods for using kinematic data for detecting overground gait events. However, during treadmill locomotion, especially running, overground methods may not possess sufficient accuracy. The purpose of this paper is to describe a method for using kinematic data to determine the time of toe off during treadmill locomotion. Ten subjects walked and ran on a treadmill while a motion-capture system collected positional data from heel and toe markers. The treadmill was equipped with force platforms that allowed an accurate determination of foot-ground contact. The time of toe off was determined using the vertical component of the toe marker, and this method was found to have greater accuracy for event detection than other published methods. Researchers can use the described method to determine times of heel strike and toe off during treadmill locomotion using only kinematic data.
研究人员在跑步机上采集步态运动学数据时,通常有兴趣确定每个步幅的足趾离地和脚跟触地时间。在没有额外硬件的情况下,可能只能使用运动捕捉设备采集的位置数据。其他人已经发表了使用运动学数据检测地面步态事件的方法。然而,在跑步机上运动时,尤其是跑步时,地面方法可能不够准确。本文的目的是描述一种使用运动学数据确定跑步机运动中足趾离地时间的方法。10 名受试者在跑步机上行走和跑步,同时运动捕捉系统从脚跟和脚趾标记器收集位置数据。跑步机配备了力台,可以准确确定脚与地面的接触。通过脚趾标记器的垂直分量确定足趾离地时间,与其他已发表的方法相比,该方法在事件检测方面具有更高的准确性。研究人员可以使用描述的方法仅使用运动学数据确定跑步机运动中的脚跟触地和足趾离地时间。