“Estimating subject-specific parameters for modeling hand joints” by Chang and Pollard

  • ©Lillian Y. Chang and Nancy S. Pollard




    Estimating subject-specific parameters for modeling hand joints



    In both biomedical and graphics applications, quantifying skeletal motion requires a kinematic model describing the joint location and axis directions. In this talk, we present techniques we have recently developed for determining parameters of three types of anatomic joints. In particular, it is important but difficult to obtain high-quality parameter estimates for the joints of the human hand. Due to the small scale of hand segments, mis-location of joint centers by even 1 cm leads to unacceptable errors in the joint angle measurement. In addition, the axis directions of hand joints are not aligned with standard anatomical planes [1], and each individual has subject-specific axis directions. The errors in axis location and direction from standard estimation techniques result in noticeable differences in reconstructed hand shape and the grasp contact points of the fingers.


    1. P. W. Brand and A. M. Hollister, Clinical Mechanics of the Hand, 3rd ed. C. V. Mosby, 1999.
    2. L. Y. Chang and N. S. Pollard, “Constrained least-squares optimization for robust estimation of center of rotation.” Journal of Biomechanics, 40(6): 1392–1400, Jul 2007.
    3. L. Y. Chang and N. S. Pollard, “Robust estimation of dominant axis of rotation.” Journal of Biomechanics, 40(12): 2707–2715, Mar 2007.
    4. L. Y. Chang and N. S. Pollard, “Method for determining kinematic parameters of the in vivo thumb carpometacarpal joint.” IEEE Transactions on Biomedical Engineering, 55(7):1897–1906, Jul 2008.

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