phat 16(6): e1

Research Article

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

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  • @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
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.