Research Article
Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application
@ARTICLE{10.4108/eai.28-9-2015.2261468, author={JASKARAN GROVER and VENKAT NATARAJAN}, title={Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={2}, number={6}, publisher={ACM}, journal_a={PHAT}, year={2015}, month={12}, keywords={android, flexion angle, motion tracking, state estimation}, doi={10.4108/eai.28-9-2015.2261468} }- JASKARAN GROVER
VENKAT NATARAJAN
Year: 2015
Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application
PHAT
EAI
DOI: 10.4108/eai.28-9-2015.2261468
Abstract
We demonstrate a practical solution to track the 2-D knee angle trajectory of a user in real-time using inertial sensors embedded in a wearable knee-band wirelessly coupled with a mobile device, by mathematically modeling the knee as a hinge joint. We show how the bias of gyroscopes can be automatically computed to eliminate manual calibration and combined with a computationally simple Kalman filter model for tracking the knee-angle on a power constrained mobile device. Finally, we visualize the 2-D knee motion trajectory in real-time using an avatar on an Android phone.
Copyright © 2015 J. Grover and V. Natarajan, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
