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首页> 外文期刊>International Journal of Occupational Safety and Ergonomics >Coefficient of friction, walking speed and cadence on slippery and dry surfaces: shoes with different groove depths
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Coefficient of friction, walking speed and cadence on slippery and dry surfaces: shoes with different groove depths

机译:滑动和干燥表面上的摩擦系数,步行速度和节奏:具有不同凹槽深度的鞋子

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摘要

Objective. The present study aimed to determine the coefficient of friction (COF), walking speed (WS) and cadence while walking on slippery and dry surfaces using shoes with different sole groove depths to predict likelihood of fall. Background. Design of shoe sole groove is crucial to prevent slipping during walking. Methods. 22 healthy young men (mean age 24.5, body mass index 22.5) volunteered for this semi-experimental study. Six different conditions of the test (combination of three shoes and two surfaces) were defined and the condition was repeated three times. In total, 396 trials (22 subjects x 3 groove depths x 2 surfaces x 3 times) were obtained for data analysis. COF was recorded by force platform at 1000 Hz and walking parameters recorded using 3D motion analysis with six infrared cameras at 200 Hz. Results. The highest COF was obtained from the deepest groove depth (5.0 mm) on both dry and slippery surfaces. The COF on slippery surfaces was significantly lower in comparison with dry surfaces. WS and cadence were not significantly different on dry and slippery surfaces. Conclusion. The deeper groove is better to prevent slipping because the COF increases by increasing the shoe sole groove depth. WS did not change on dry and slippery surfaces.
机译:客观的。目前的研究旨在确定摩擦系数(COF),步行速度(WS)和凹陷,同时使用具有不同鞋底深度的鞋面行走滑动和干燥的表面,以预测秋季的可能性。背景。鞋底槽的设计对于防止在行走期间滑动至关重要。方法。 22健康的年轻人(平均24.5岁,体重指数22.5)为该半实验研究自愿进行。定义了六种不同的测试条件(三鞋和两个表面的组合),并且条件重复三次。获得了396个试验(22个受试者x 3凹槽深度x 2表面x 3次)进行数据分析。 COF以5000Hz的强制平台记录,使用3D运动分析记录的步行参数,在200 Hz时使用六个红外相机。结果。最高COF从干燥和滑动表面上的最深槽深(5.0mm)获得。与干燥表面相比,光滑表面上的COF显着降低。在干燥和光滑的表面上没有显着差异。结论。更深的凹槽更好地防止滑动,因为COF通过增加鞋底槽深度而增加。 WS没有改变干燥和滑溜的表面。

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