A computationally efficient optimisation-based method for parameter identification of kinematically determinate and over-determinate biomechanical systems

  • Andersen M
  • Damsgaard M
  • MacWilliams B
 et al. 
  • 102

    Readers

    Mendeley users who have this article in their library.
  • 64

    Citations

    Citations of this article.

Abstract

This paper introduces a general optimisation-based method for identification of biomechanically relevant parameters in kinematically determinate and over-determinate systems from a given motion. The method is designed to find a set of parameters that is constant over the time frame of interest as well as the time-varying system coordinates, and it is particularly relevant for biomechanical motion analysis where the system parameters can be difficult to accurately determine by direct measurements. Although the parameter identification problem results in a large-scale optimisation problem, we show that, due to a special structure in the linearised Karush–Kuhn–Tucker optimality conditions, the solution can be found very efficiently. The method is applied to a set of test problems relevant for gait analysis. These involve determining the local coordinates of markers placed on the model, segment lengths and joint axes of rotation from both gait and range of motion experiments.

Author-supplied keywords

  • Gait
  • Kinematic analysis
  • Motion capture
  • Parameter identification
  • Range of motion

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free