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Sensors 2017, 17(9), 2091;

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

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
Author to whom correspondence should be addressed.
Received: 2 August 2017 / Revised: 31 August 2017 / Accepted: 10 September 2017 / Published: 12 September 2017
(This article belongs to the Collection Modeling, Testing and Reliability Issues in MEMS Engineering)
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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. View Full-Text
Keywords: inertial sensor; motion capture; Xsens MVN; accuracy; base of support; biomechanical model inertial sensor; motion capture; Xsens MVN; accuracy; base of support; biomechanical model

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Guo, L.; Xiong, S. Accuracy of Base of Support Using an Inertial Sensor Based Motion Capture System. Sensors 2017, 17, 2091.

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