• DocumentCode
    743138
  • Title

    Fast Determination of the Planar Body Segment Inertial Parameters Using Affordable Sensors

  • Author

    Bonnet, Vincent ; Venture, Gentiane

  • Author_Institution
    Dept. of Mech. Syst. Eng., Tokyo Univ. of Agric. & Technol., Tokyo, Japan
  • Volume
    23
  • Issue
    4
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    628
  • Lastpage
    635
  • Abstract
    This study aimed at developing and evaluating a new method for the fast and reliable identification of body segment inertial parameters with a planar model using affordable sensors. A Kinect sensor, with a new marker-based tracking system, and a Wii balance board were used as an affordable and portable motion capture system. A set of optimal exciting motions was used in a biofeedback interface to identify the body segment parameters. The method was validated with 12 subjects performing various standardized motions. The same dynamometric quantities estimated both with the proposed system and, as a reference, with a laboratory grade force-plate were compared. The results showed that the proposed method could successfully estimate the resultant moment and the vertical ground reaction force (rms errors less than 8 Nm and 12 N, respectively). Finally, when local segment values were artificially varied, the proposed method was able to detect and estimate the additional masses accurately and with an error of less than 0.5 Kg, contrary to values generated with commonly used anthropometric tables.
  • Keywords
    biomechanics; biomedical telemetry; wireless sensor networks; Kinect sensor; Wii balance board; affordable sensors; anthropometric tables; biofeedback interface; dynamometric quantities; laboratory grade force-plate; marker-based tracking system; mass detection; optimal exciting motions; planar body segment inertial parameters; portable motion capture system; resultant moment estimation; standardized motions; vertical ground reaction force; Joints; Kinetic theory; Mathematical model; Robots; Sensors; Tracking; Visualization; Body segment inertial parameters; identification; inverse dynamics;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2015.2405087
  • Filename
    7052399