Estimation of Centre of Pressure from Wearable Intertial Sensors

Isaac Zeca, Yuzhu Guo, F. Storm, C. Mazzà, Lingzhong Guo
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Abstract

Conventionally, centre of pressure (COP) measurements are acquired using force plate systems or instrumented treadmill devices. Despite their accuracy, these standard measuring techniques are restricted to laboratory settings, expensive equipment, and may not replicate normal outdoor walking, thus imposing some constraints on the ability to measure human movement. In this study, we propose a new method to estimate foot COP during walking, using exclusive information from wearable inertial sensors located in different parts of body. The dynamic relationship between the inertial sensor information (i.e. accelerations, angular velocities and quaternion orientation) and the measured COP using two-foot pressure insole sensors has been identified using a nonlinear autoregressive moving average with exogenous input (NARMAX) model. The results show that the COP movement can be estimated with high accuracy using only a single inertial sensor attached to the left ankle. The relative prediction errors were around 2.7% in the anterior-posterior direction (x-axis, forward and backward), and 7.6% in the medial-lateral direction (y-axis, side-to-side) for the left ankle sensor, which are comparable to 2.5% and 7.1% in the anterior-posterior and medial-lateral directions, respectively, when all six sensors were used. The proposed approach provides a promising low-cost method for COP estimation and continuous monitoring of gait characteristics in daily life applications.
可穿戴式间隙传感器压力中心的估计
通常,压力中心(COP)测量是使用测力板系统或仪器跑步机设备获得的。尽管这些标准测量技术很准确,但它们受限于实验室环境、昂贵的设备,并且可能无法复制正常的户外行走,因此对测量人类运动的能力施加了一些限制。在这项研究中,我们提出了一种新的方法来估计步行过程中的足部COP,利用来自身体不同部位的可穿戴惯性传感器的独家信息。惯性传感器信息(即加速度,角速度和四元数方向)与使用两英尺压力鞋垫传感器测量的COP之间的动态关系已经使用非线性自回归移动平均外源输入(NARMAX)模型确定。结果表明,仅使用附着在左脚踝上的单个惯性传感器就可以高精度地估计COP的运动。左脚踝传感器在前后方向(x轴,向前和向后)的相对预测误差约为2.7%,在内侧外侧方向(y轴,侧面到侧面)的相对预测误差约为7.6%,当使用所有六种传感器时,前后方向和内侧外侧方向的相对预测误差分别为2.5%和7.1%。该方法为日常生活中步态特征的COP估计和连续监测提供了一种有前途的低成本方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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