Walking speed and slope estimation using shank-mounted inertial measurement units

Qingguo Li, M. Young, V. Naing, J. Donelan
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引用次数: 50

Abstract

This paper studied the feasibility of walking speed and slope estimation using shank-mounted inertial measurement units, and proposed a real-time stride-by-stride walking speed and slope estimation method. This method processed acceleration and angular velocity measured by a shank-mounted inertia measurement unit and output stride-by-stride walking speed and slope information in real time. Instead of estimating gait parameters indirectly, this method integrated the transformed accelerations to calculate stride length, walking speed and slope in each gait cycle. The main challenge is to determine the integration initial values at the beginning of each gait cycle. By taking the advantage of inverted pendulum model of walking, we identified a appropriate way to segment a walking sequence into gait cycles such that all of the required initial values were available. Experimental results demonstrated that the proposed method could accurately estimate the walking speeds under different walking conditions. However, the method estimated the slope with a lower accuracy.
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行走速度和坡度估计使用柄装惯性测量单元
研究了利用臂载惯性测量单元进行行走速度和坡度估计的可行性,提出了一种实时逐步行走速度和坡度估计方法。该方法对安装在支架上的惯性测量单元测量的加速度和角速度进行处理,并实时输出每步的行走速度和坡度信息。该方法代替了间接估计步态参数的方法,将变换后的加速度积分计算出每个步态周期的步幅、行走速度和坡度。主要的挑战是确定每个步态周期开始时的积分初始值。通过利用倒立摆步行模型,我们确定了一种合适的方法将步行序列分割成步态周期,从而使所有所需的初始值都可用。实验结果表明,该方法能较准确地估计不同步行条件下的步行速度。然而,该方法估计斜率的精度较低。
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