phat 16(5): e3

Research Article

Body-IMU autocalibration for inertial hip and knee joint tracking

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  • @ARTICLE{10.4108/eai.28-9-2015.2261522,
        author={Sarvenaz Salehi and Gabriele Bleser and Attila Reiss and Didier Stricker},
        title={Body-IMU autocalibration for inertial hip and knee joint tracking},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        keywords={body-sensor autocalibration, wearable system, imu, joint axes},
  • Sarvenaz Salehi
    Gabriele Bleser
    Attila Reiss
    Didier Stricker
    Year: 2015
    Body-IMU autocalibration for inertial hip and knee joint tracking
    DOI: 10.4108/eai.28-9-2015.2261522
Sarvenaz Salehi1,*, Gabriele Bleser2, Attila Reiss3, Didier Stricker1
  • 1: DFKI GmbH
  • 2: Technical University Kaiserslautern
  • 3: University of Passau
*Contact email:


Sensor to body calibration is a key requirement for capturing accurate body movements in applications based on wearable systems. In this paper, we consider the specific problem of estimating the positions of multiple inertial measurement units (IMUs) relative to the adjacent body joints. To derive an efficient, robust and precise method based on a practical procedure is a crucial as well as challenging task when developing a wearable system with multiple embedded IMUs. In this work, first, we perform a theoretical analysis of an existing position calibration method, showing its limited applicability for the hip and knee joint. Based on this, we propose a method for simultaneously estimating the positions of three IMUs (mounted on pelvis, upper leg, lower leg) relative to these joints. The latter are here considered as an ensemble. Finally, we perform an experimental evaluation based on simulated and real data, showing the improvements of our calibration method as well as lines of future work.