Comparison of Five Kinematic-Based Identification Methods of Foot Contact Events During Treadmill Walking and Running at Different Speeds
Comparison of Five Kinematic-Based Identification Methods of Foot Contact Events During Treadmill Walking and Running at Different Speeds
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DOI：
10.1123/jab.2014-0178
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发表时间：
2015-10-01
影响因子：
1.4
通讯作者：
Muniz, Adriane
中科院分区：
文献类型：
--
作者：
Alvim, Felipe;Cerqueira, Lucenildo;Muniz, Adriane
这项研究比较了5种基于运动学的算法来检测人体在不同速度下运动时的脚跟着地(HS)和脚趾离地(TO)事件。目的是评估不同的跑步和步行速度如何影响跑步机运动时接触事件的确定。30名男性跑步者在跑步机上以5公里/小时的速度行走，以9、11和13公里/小时的速度跑步。运动学系统被用来捕捉放置在受试者右脚跟和第二跖骨的两个反向反射标记的轨迹。脚踏开关装置被用来确定HS的“真实”时间，并与5种基于运动学的算法进行比较。研究结果表明，速度对垂直位置和水平速度算法的HS误差和垂直位置和水平速度算法的TO误差有影响。这种差异是在从步行到跑步的转变中发现的；然而，较高的跑步速度不会影响误差估计。综合算法的精度较高，即一种利用垂直加速度和位置的算法，另一种使用水平和垂直位置的算法，不受不同运动速度的影响。因此，在自行选择速度的研究中推荐使用这些算法，因为它们在广泛的运动速度范围内都能很好地工作。
This study involved a comparison of 5 kinematic-based algorithms to detect heel strike (HS) and toe-off (TO) events during human locomotion at different speeds. The objective was to assess how different running and walking speeds affect contact event determination during treadmill locomotion. Thirty male runners performed walking at 5 km/h and running at 9, 11, and 13 km/h on a treadmill. A kinematic system was used to capture the trajectories of 2 retro-reflective markers placed at the subject's right heel and second metatarsal. A footswitch device was used to determine the "true" times of HS and TO compared with 5 kinematic-based algorithms. The results of the current study illustrated that speed influences the HS error in the vertical position and horizontal velocity algorithms, and the TO error in the vertical position and horizontal velocity algorithms. This difference was found in the transition from walking to running; however, higher running speeds did not affect the error estimation. Higher accuracy was found with combined algorithms, namely, one using vertical acceleration and position and another using horizontal and vertical position with no influence from different locomotion speeds. Therefore, these algorithms are recommended in studies where speed is self-selected because they work well for a broad range of locomotion velocities.