Soft tissue artifact compensation by linear 3D interpolation and approximation methods

  • Dumas R
  • Cheze L
  • 59


    Mendeley users who have this article in their library.
  • 27


    Citations of this article.


Several compensation methods estimate bone pose from a cluster of skin-mounted makers, each influenced by soft tissue artifact (STA). In this study, linear 3D interpolation and approximation methods (affine mapping, Kriging and radial basis function (RBF)) and the conventional singular value decomposition (SVD) method were examined to determine their suitability for STA compensation. The ability of these four methods to estimate knee angles and displacements was compared using simulated gait data with and without added STA. The knee angle and the displacement estimates of all four methods were similar with root-mean-square errors (RMSEs) near 1.5° and 4 mm, respectively. The 3D interpolation and approximation methods were more complicated to implement than the conventional SVD method. However, these non-standard methods provided additional geometric (homothety, stretch) and time functions that model the deformation of the cluster of markers. This additional information may be useful to model and compensate the STA. © 2009 Elsevier Ltd. All rights reserved.

Author-supplied keywords

  • Affine mapping
  • Bone pose
  • Gait simulation
  • Knee kinematics
  • Kriging
  • Radial basis function
  • Soft tissue artifact

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

Get full text


  • R. Dumas

  • L. Cheze

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free