Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application

JASKARAN GROVER; VENKAT NATARAJAN

10th EAI International Conference on Body Area Networks

Research Article

Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application

Cite: BibTeX Plain Text

@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

JASKARAN GROVER¹^,*, VENKAT NATARAJAN²

1: Systems Engineer, Intel Labs
2: Intel Labs

*Contact email: groverjaskaran@gmail.com

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.

Keywords: android flexion angle motion tracking state estimation

Published: 2015-12-14
Publisher: ACM

: http://dx.doi.org/10.4108/eai.28-9-2015.2261468

Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application

Abstract

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