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基于可穿戴惯性传感器测量的跳台滑雪助滑和起跳阶段关节力与力矩估计

Estimation of joint forces and moments for the in-run and take-off in ski jumping based on measurements with wearable inertial sensors.

作者信息

Logar Grega, Munih Marko

机构信息

Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, 1000 Ljubljana, Slovenia.

出版信息

Sensors (Basel). 2015 May 13;15(5):11258-76. doi: 10.3390/s150511258.

Abstract

This study uses inertial sensors to measure ski jumper kinematics and joint dynamics, which was until now only a part of simulation studies. For subsequent calculation of dynamics in the joints, a link-segment model was developed. The model relies on the recursive Newton-Euler inverse dynamics. This approach allowed the calculation of the ground reaction force at take-off. For the model validation, four ski jumpers from the National Nordic center performed a simulated jump in a laboratory environment on a force platform; in total, 20 jumps were recorded. The results fit well to the reference system, presenting small errors in the mean and standard deviation and small root-mean-square errors. The error is under 12% of the reference value. For field tests, six jumpers participated in the study; in total, 28 jumps were recorded. All of the measured forces and moments were within the range of prior simulated studies. The proposed system was able to indirectly provide the values of forces and moments in the joints of the ski-jumpers' body segments, as well as the ground reaction force during the in-run and take-off phases in comparison to the force platform installed on the table. Kinematics assessment and estimation of dynamics parameters can be applied to jumps from any ski jumping hill.

摘要

本研究使用惯性传感器来测量跳台滑雪运动员的运动学和关节动力学,而这在以往只是模拟研究的一部分内容。为了后续计算关节动力学,开发了一个环节模型。该模型依赖于递归牛顿 - 欧拉逆动力学。这种方法能够计算起跳时的地面反作用力。为了验证模型,来自国家北欧中心的四名跳台滑雪运动员在实验室环境中的测力平台上进行了模拟跳跃;总共记录了20次跳跃。结果与参考系统拟合良好,在均值、标准差和均方根误差方面的误差较小。误差在参考值的12%以内。对于现场测试,六名运动员参与了研究;总共记录了28次跳跃。所有测量的力和力矩都在先前模拟研究的范围内。与安装在台上的测力平台相比,所提出的系统能够间接提供跳台滑雪运动员身体各部分关节处的力和力矩值,以及助滑和起跳阶段的地面反作用力。运动学评估和动力学参数估计可应用于从任何跳台滑雪山坡上的跳跃。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98f8/4481886/15e9d2b951bd/sensors-15-11258f1.jpg

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