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使用基于惯性传感器的运动捕捉系统时支撑面的准确性。

Accuracy of Base of Support Using an Inertial Sensor Based Motion Capture System.

作者信息

Guo Liangjie, Xiong Shuping

机构信息

Department of Safety Engineering, China University of Geosciences, Wuhan 430074, China.

Human Factors and Ergonomics Laboratory, Department of Industrial & Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.

出版信息

Sensors (Basel). 2017 Sep 12;17(9):2091. doi: 10.3390/s17092091.

DOI:10.3390/s17092091
PMID:28895897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5621008/
Abstract

The potential of miniature inertial sensors for human balance and gait analysis appears promising. Base of support (BOS), together with its interaction with center of mass, is a critical indicator in above mentioned research fields. This study aims to evaluate the accuracy of Xsens MVN BIOMECH, a commercial widely used inertial sensor-based motion capture system, for measuring static BOS and examine the effect of different task complexity on the accuracy. Eleven young males participated in this study and went through eleven different experimental tasks. Results showed there were considerable errors in estimating BOS area (error ranged from -12.6% to +64.6%) from Xsens MVN and a large error in foot separation distance when there was knee flexion. The estimated BOS area from MVN was smaller than the ground truth from footprint when there was no knee flexion, and larger when there was knee flexion, and it increased monotonically along with the knee flexion angles. Wrongly estimated foot separations, mainly caused by knee flexion, and the initial system estimation error on BOS, were two major reasons for error and instability of BOS estimation. The findings suggested that caution should be taken when using Xsens MVN BIOMECH to estimate BOS and foot position-related measurements, especially for postures/motions with knee flexion.

摘要

微型惯性传感器在人体平衡和步态分析方面的潜力似乎很可观。支撑面（BOS）及其与质心的相互作用是上述研究领域中的一个关键指标。本研究旨在评估Xsens MVN BIOMECH（一种广泛使用的基于惯性传感器的商用运动捕捉系统）测量静态支撑面的准确性，并研究不同任务复杂性对其准确性的影响。11名年轻男性参与了本研究，并完成了11项不同的实验任务。结果表明，Xsens MVN在估计支撑面面积时存在相当大的误差（误差范围为-12.6%至+64.6%），并且在膝关节屈曲时，足部间距存在较大误差。当没有膝关节屈曲时，MVN估计的支撑面面积小于足迹测量的实际值；当有膝关节屈曲时，则大于实际值，并且随着膝关节屈曲角度的增加而单调增加。错误估计的足部间距主要由膝关节屈曲引起，以及支撑面的初始系统估计误差，是支撑面估计误差和不稳定性的两个主要原因。研究结果表明，在使用Xsens MVN BIOMECH估计支撑面和与足部位置相关的测量时应谨慎，特别是对于有膝关节屈曲的姿势/运动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/414a/5621008/52ac607560af/sensors-17-02091-g014.jpg
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