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Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors

Qiu, S and Wang, Z and Zhao, H and Hu, H (2017) Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors. In: UNSPECIFIED, ? - ?.

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Abstract

Copyright © 2017 Inderscience Enterprises Ltd. Gait analysis has become a research highlight. In this paper, we propose a computing method using wearable magnetic angular rate and gravity (MARG) sensor arrays with wireless network, which calculates absolute and relative orientation and position information of human foot motion during level walking and stair climbing process. Three-dimensional foot orientation and position were estimated by a Kalman-based sensor fusion algorithm and validated by ground truth provided by Vicon system. The repeatability of the alignment procedure and the measurement errors were evaluated on healthy subjects. Experimental results demonstrate that the proposed method has a good performance at both motion patterns. No significant drifts exist in the overall results presented in the paper. The measured and estimated information can be transmitted to remote server through internet. Moreover, this method could be applied to other cyclical activity monitoring.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: International Journal of Computational Science and Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 03 Aug 2017 14:44
Last Modified: 22 Jan 2019 20:15
URI: http://repository.essex.ac.uk/id/eprint/19941

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