Estimating Stair Running Performance Using Inertial Sensors
Estimating Stair Running Performance Using Inertial Sensors
复制标题
使用惯性传感器估计楼梯运行性能
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
N. Perkins
中科院分区：
文献类型：
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作者：
L. Ojeda;A. Zaferiou;S. Cain;Rachel V. Vitali;S. P. Davidson;L. Stirling;N. Perkins
楼梯跑，包括上升和下降，是一项具有挑战性的有氧运动，许多运动员，休闲跑步者和士兵在训练中进行。在使用基于光学的运动跟踪系统时，对多台阶楼梯运动的生物力学研究受到了实际挑战的限制。我们建议使用足部惯性测量单元（imu）作为解决方案，因为它们可以在任何环境下不受限制地进行运动捕获，而不需要外部参考。特别地，本文介绍了在楼梯运行过程中使用脚装imu估计脚速度和轨迹的方法。计算方法利用在站立阶段和已知的楼梯几何形状中发生的静止期来估计脚的方向和轨迹，最终用于计算步幅指标。这些计算应用于人类参与者的楼梯跑数据，通过计时、轨迹、能量和力量步幅指标揭示了性能趋势。我们提出了对11个科目的实验数据进行分析的结果。总的来说，我们确定无论是上升还是下降，站姿时间是速度的最强预测因子，因为它与步幅时间高度相关。
Stair running, both ascending and descending, is a challenging aerobic exercise that many athletes, recreational runners, and soldiers perform during training. Studying biomechanics of stair running over multiple steps has been limited by the practical challenges presented while using optical-based motion tracking systems. We propose using foot-mounted inertial measurement units (IMUs) as a solution as they enable unrestricted motion capture in any environment and without need for external references. In particular, this paper presents methods for estimating foot velocity and trajectory during stair running using foot-mounted IMUs. Computational methods leverage the stationary periods occurring during the stance phase and known stair geometry to estimate foot orientation and trajectory, ultimately used to calculate stride metrics. These calculations, applied to human participant stair running data, reveal performance trends through timing, trajectory, energy, and force stride metrics. We present the results of our analysis of experimental data collected on eleven subjects. Overall, we determine that for either ascending or descending, the stance time is the strongest predictor of speed as shown by its high correlation with stride time.
影响因子：
2.4
作者：
Ojeda, Lauro;Rebula, John R.;Adamczyk, Peter G.;Kuo, Arthur D.
通讯作者：
Kuo, Arthur D.