• DocumentCode
    2469536
  • Title

    On the structural identifiability of joint parameters from motion capture data

  • Author

    Pham, Quang-Cuong ; Ayusawa, Ko ; Kubota, Kanade ; Nakamura, Yoshihiko

  • Author_Institution
    Dept. of Mechano-Inf., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1586
  • Lastpage
    1591
  • Abstract
    To identify the joint parameters (e.g. the position of the joint center for a spherical joint, the position and the orientation of the joint axis for a revolute joint, etc.) from motion capture data, existing provably-correct algorithms require that at least three markers be attached to either of the two links adjacent to the joint. However, as shown in this article, it turns out that the identification of the joint parameters requires, for most types of joints, strictly less than three markers on any link. More precisely, we prove the structural identifiability of joint parameters in the following cases: (a) a spherical joint with two markers attached to each of the two adjacent links; (b) a revolute joint with two markers attached to one of the two links, and one marker attached to the other. We provide a practical algorithm to do the identification in case (a). Finally, we show that identification cannot be achieved with strictly fewer markers than listed in (a) and (b).
  • Keywords
    image motion analysis; parameter estimation; joint axis orientation; joint axis position; joint center position; joint parameter identification; joint parameter structural identifiability; motion capture data; provably-correct algorithm; revolute joint; spherical joint; Computational modeling; Equations; Hip; Joints; Mathematical model; Noise measurement; Thigh;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377963
  • Filename
    6377963