Literature DB >> 10912341

A spot check for estimating stereophotogrammetric errors.

U Della Croce1, A Cappozzo.   

Abstract

Good practice rules in the management of a movement analysis laboratory recommend that photogrammetric measurement errors are assessed, prior to every experimental session, using an ad hoc experiment referred to as a spot check. The paper proposes an inexpensive and easy to make spot check. The test uses a rigid rod carrying two markers and a target point taken on the line joining them and coinciding with the rod tip. The latter point is placed in a fixed and measured position in the laboratory frame and the markers are tracked while the rod is kept stationary and while it is manually made to rotate about the target point. Several target points are used within the measurement volume. The instantaneous errors with which the laboratory co-ordinates of the latter points are reconstructed are determined and submitted to statistical analysis. A normalisation procedure is illustrated that aims at making the test results independent from the geometry of the test object. The experimental and analytical methods underlying the proposed spot check were validated experimentally in two movement analysis laboratories using repeated tests. A rod, 1.5 m long, carrying four markers was used. In this way, several test-object geometries were tested. Results confirmed that the photogrammetric error could be divided into a zero-mean random and a systematic component. It was shown that the normalisation procedure was effective for the standard deviation of both error components when the two markers were located at a distance between them 1.5 times larger than the distance of their centroid from the tip of the rod. The systematic component bias could not be normalised, however a conservative value of it could be estimated. The two above-mentioned normalised standard deviations and the bias value can be taken as descriptors of the photogrammetric error of the specific measuring system tested. These parameters may also be used to assess the precision and the accuracy with which the laboratory position of a target point, defined relative to any specified marker cluster, may be reconstructed during movement analysis.

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Year:  2000        PMID: 10912341     DOI: 10.1007/BF02347045

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   3.079


  9 in total

1.  Position and orientation in space of bones during movement: experimental artefacts.

Authors:  A Cappozzo; F Catani; A Leardini; M G Benedetti; U Della Croce
Journal:  Clin Biomech (Bristol, Avon)       Date:  1996-03       Impact factor: 2.063

2.  Tibiocalcaneal motion during running, measured with external and bone markers.

Authors:  C Reinschmidt; A J van Den Bogert; N Murphy; A Lundberg; B M Nigg
Journal:  Clin Biomech (Bristol, Avon)       Date:  1997-01       Impact factor: 2.063

3.  Position and orientation in space of bones during movement: anatomical frame definition and determination.

Authors:  A Cappozzo; F Catani; U Della Croce; A Leardini
Journal:  Clin Biomech (Bristol, Avon)       Date:  1995-06       Impact factor: 2.063

4.  An algorithm for 3-D automatic movement detection by means of standard TV cameras.

Authors:  N A Borghese; G Ferrigno
Journal:  IEEE Trans Biomed Eng       Date:  1990-12       Impact factor: 4.538

5.  Surface-marker cluster design criteria for 3-D bone movement reconstruction.

Authors:  A Cappozzo; A Cappello; U Della Croce; F Pensalfini
Journal:  IEEE Trans Biomed Eng       Date:  1997-12       Impact factor: 4.538

6.  Pelvis and lower limb anatomical landmark calibration precision and its propagation to bone geometry and joint angles.

Authors:  U della Croce; A Cappozzo; D C Kerrigan
Journal:  Med Biol Eng Comput       Date:  1999-03       Impact factor: 2.602

7.  A device for three-dimensional registration of human movement.

Authors:  B Samuelson; M Wangenheim; H Wos
Journal:  Ergonomics       Date:  1987-12       Impact factor: 2.778

8.  Comparative assessment of two algorithms for calibrating stereophotogrammetric systems.

Authors:  F Gazzani
Journal:  J Biomech       Date:  1993-12       Impact factor: 2.712

9.  A procedure to validate three-dimensional motion assessment systems.

Authors:  K J DeLuzio; U P Wyss; J Li; P A Costigan
Journal:  J Biomech       Date:  1993-06       Impact factor: 2.712

  9 in total
  6 in total

1.  In vitro analysis of patellar kinematics: validation of an opto-electronic cinematic analysis protocol.

Authors:  Remi Philippot; Julien Chouteau; Rodolphe Testa; Bernard Moyen
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2.  Spot check of the calibrated force platform location.

Authors:  M Rabuffetti; M Ferrarin; F Benvenuti
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

3.  A Study of Vicon System Positioning Performance.

Authors:  Pierre Merriaux; Yohan Dupuis; Rémi Boutteau; Pascal Vasseur; Xavier Savatier
Journal:  Sensors (Basel)       Date:  2017-07-07       Impact factor: 3.576

4.  A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems.

Authors:  Kirsty Scott; Tecla Bonci; Lisa Alcock; Ellen Buckley; Clint Hansen; Eran Gazit; Lars Schwickert; Andrea Cereatti; Claudia Mazzà
Journal:  Sensors (Basel)       Date:  2021-12-09       Impact factor: 3.576

5.  Control of the upper body accelerations in young and elderly women during level walking.

Authors:  Claudia Mazzà; Marco Iosa; Fabrizio Pecoraro; Aurelio Cappozzo
Journal:  J Neuroeng Rehabil       Date:  2008-11-17       Impact factor: 4.262

6.  A computational method for recording and analysis of mandibular movements.

Authors:  Alan Petrônio Pinheiro; Adriano O Andrade; Adriano A Pereira; Douglas Bellomo
Journal:  J Appl Oral Sci       Date:  2008 Sep-Oct       Impact factor: 2.698

  6 in total

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