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Ambulatory estimation of 3D walking trajectory and knee joint angle using MARG Sensors

Qiu, Sen and Yu Yang, and Hou, Jijian and Ran Ji, and Hu, Huosheng and Wang, Zhelong (2014) Ambulatory estimation of 3D walking trajectory and knee joint angle using MARG Sensors. In: 2014 Fourth International Conference on Innovative Computing Technology (INTECH), 2014-08-13 - 2014-08-15.

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Abstract

This paper presents a MARG Sensors based walking motion analysis method that can be used for rehabilitation treatment evaluation under ambulatory conditions in daily lives. A commercial inertial measure unit MTx is fixed on human shank segment. Then digital data box worn on the waist transmits the raw data to laptop with Blue-tooth for post processing. Subjects are required to perform level walking and upstairs walking respectively. After the initial alignment and quaternion convergence, the proposed method fuses the inertial data using Kalman filter based on quaternion. Walking trajectory and knee joint angle are estimated and validated by available ground truth. Experiment results demonstrate that the proposed method has a good performance at both motion patterns. It also shows that no significant drifts exist in the overall results presented in the paper. The method can also be adapted to measure other sites of articulation such as ankle and elbow.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
Uncontrolled Keywords: Walking evaluation; Motion tracking; Rehabilitation; wearable sensors; MARG system
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 17 Jul 2015 11:54
Last Modified: 15 Jan 2022 00:41
URI: http://repository.essex.ac.uk/id/eprint/14339

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