Literature DB >> 19269638

Determination of rigid body registration marker error from edge error.

Clark R Andersen1.   

Abstract

Registration markers affixed to rigid bodies (fixed to bone as opposed to skin) are commonly used when tracking 3D rigid body motion. The measured positions of registration markers are subject to unavoidable errors, both systematic and non-systematic. Prior studies have investigated the error propagated to such derived properties as rigid body positions and helical axes, while others have focused on the error associated with a specific position tracking system under restricted conditions. Theoretical and simulation-based error propagation requires knowledge of the variation due to individual registration markers; however, the variation in registration marker position measurement has previously been either assumed or determined from static cases. The objective of this paper is the introduction of a method for determining individual marker variation irrespective of change in rigid body position or motion by utilizing the distances between the markers (edge lengths), which are invariant under rotation and translation. Simulations were used to validate and characterize the introduced technique, demonstrating that the predictions improve with greater edge length and additional markers, converge on reference values where the edge length is at least 4 times the magnitude of the maximum vertex variation, and that under ideal conditions the confidence interval about the predicted variation is within 7% of the maximum variation associated with that marker set. The introduced technique was tested on the results of a motion tracking experiment to demonstrate the wide disparity in vertex variation between static and non-static measurements of the same registration markers, where the non-static variation exceeded the static variation by an average factor of 12.7.

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Year:  2009        PMID: 19269638      PMCID: PMC2671571          DOI: 10.1016/j.jbiomech.2009.01.011

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  8 in total

1.  Three-dimensional kinematic analysis of the second through fifth carpometacarpal joints.

Authors:  M El-Shennawy; K Nakamura; R M Patterson; S F Viegas
Journal:  J Hand Surg Am       Date:  2001-11       Impact factor: 2.230

2.  A marker-based measurement procedure for unconstrained wrist and elbow motions.

Authors:  R Schmidt; C Disselhorst-Klug; J Silny; G Rau
Journal:  J Biomech       Date:  1999-06       Impact factor: 2.712

3.  Reproducibility and accuracy of angle measurements obtained under static conditions with the Motion Analysis video system.

Authors:  D W Vander Linden; S J Carlson; R L Hubbard
Journal:  Phys Ther       Date:  1992-04

4.  In vitro study of foot kinematics using a dynamic walking cadaver model.

Authors:  C J Nester; A M Liu; E Ward; D Howard; J Cocheba; T Derrick; P Patterson
Journal:  J Biomech       Date:  2006-11-01       Impact factor: 2.712

5.  Systematic accuracy and precision analysis of video motion capturing systems--exemplified on the Vicon-460 system.

Authors:  Markus Windolf; Nils Götzen; Michael Morlock
Journal:  J Biomech       Date:  2008-07-30       Impact factor: 2.712

6.  Whole body inverse dynamics over a complete gait cycle based only on measured kinematics.

Authors:  Lei Ren; Richard K Jones; David Howard
Journal:  J Biomech       Date:  2008-07-30       Impact factor: 2.712

7.  Classification of errors in locating a rigid body.

Authors:  K A Ball; M R Pierrynowski
Journal:  J Biomech       Date:  1996-09       Impact factor: 2.712

8.  Finite centroid and helical axis estimation from noisy landmark measurements in the study of human joint kinematics.

Authors:  H J Woltring; R Huiskes; A de Lange; F E Veldpaus
Journal:  J Biomech       Date:  1985       Impact factor: 2.712

  8 in total

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