Wearable sensor systems in biomechanics: assessment of unrestrained walking features

A. Sabatini
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引用次数: 6

Abstract

A wearable sensor system is proposed to determine several walking features. including stride length, cadence, walking speed, incline. The sensor system is composed of an inertial measurement unit (IMU) mounted on the foot instep and a biaxial accelerometer mounted on the waist. The IMU integrates a biaxial accelerometer and a rate gyroscope. Both the foot gyroscope and the waist accelerometer are capable to accurately estimate the cadence. Strapdown integration applied to the inertial data allows to reconstruct the trajectory in the sagittal plane of the sensed anatomical point on the foot, yielding the opportunity to determine the desired walking features. Double-integration of the waist accelerometer signals to determine the trunk vertical displacement and root mean square analysis of the waist acceleration modulus allow to construct two predictors of the walking speed, which integrate the information gathered from the inertial estimator. In this paper, preliminary results concerning the accuracy of level walking speed prediction by different methods are presented.
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生物力学中的可穿戴传感器系统:无约束行走特征的评估
提出了一种可穿戴传感器系统来确定几种步行特征。包括步幅,节奏,步行速度,坡度。该传感器系统由安装在脚背上的惯性测量单元(IMU)和安装在腰部的双轴加速度计组成。IMU集成了一个双轴加速度计和一个速率陀螺仪。脚上的陀螺仪和腰上的加速度计都能准确地估计出节奏。将捷联积分应用于惯性数据,可以在足部感测解剖点的矢状面上重建轨迹,从而有机会确定所需的行走特征。腰部加速度计信号的双积分确定躯干垂直位移和腰部加速度模量的均方根分析可以构建两个步行速度预测器,这两个预测器集成了从惯性估计器收集的信息。本文给出了不同方法对水平行走速度预测精度的初步结果。
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