
Research Article
Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application
@INPROCEEDINGS{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}, proceedings={10th EAI International Conference on Body Area Networks}, publisher={ACM}, proceedings_a={BODYNETS}, 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
BODYNETS
ICST
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.
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