Literature DB >> 20207358

Validation of a single camera three-dimensional motion tracking system.

Joshua T Weinhandl1, Brian S R Armstrong, Todd P Kusik, Robb T Barrows, Kristian M O'Connor.   

Abstract

The ability to analyze human movement is an essential tool of biomechanical analysis for both sport and clinical applications. Traditional 3D motion capture technology limits the feasibility of large scale data collections and therefore the ability to address clinical questions. Ideally, the measurement system/protocol should be non-invasive, mobile, generate nearly instantaneous feedback to the clinician and athlete, and be relatively inexpensive. The retro-grate reflector (RGR) is a new technology that allows for three-dimensional motion capture using a single camera. Previous studies have shown that orientation and position information recorded by the RGR system has high measurement precision and is strongly correlated with a traditional multi-camera system across a series of static poses. The technology has since been refined to record moving pose information from multiple RGR targets at sampling rates adequate for assessment of athletic movements. The purpose of this study was to compare motion data for a standard athletic movement recorded simultaneously with the RGR and multi-camera (Motion Analysis Eagle) systems. Nine subjects performed three single-leg land-and-cut maneuvers. Thigh and shank three-dimensional kinematics were collected with the RGR and Eagle camera systems simultaneously at 100Hz. Results showed a strong agreement between the two systems in all three planes, which demonstrates the ability of the RGR system to record moving pose information from multiple RGR targets at a sampling rate adequate for assessment of human movement and supports the ability to use the RGR technology as a valid 3D motion capture system. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20207358      PMCID: PMC2857581          DOI: 10.1016/j.jbiomech.2009.12.025

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


  12 in total

1.  Three-dimensional measurement of rearfoot motion during running.

Authors:  M Areblad; B M Nigg; J Ekstrand; K O Olsson; H Ekström
Journal:  J Biomech       Date:  1990       Impact factor: 2.712

2.  Biomechanical measures of neuromuscular control and valgus loading of the knee predict anterior cruciate ligament injury risk in female athletes: a prospective study.

Authors:  Timothy E Hewett; Gregory D Myer; Kevin R Ford; Robert S Heidt; Angelo J Colosimo; Scott G McLean; Antonie J van den Bogert; Mark V Paterno; Paul Succop
Journal:  Am J Sports Med       Date:  2005-02-08       Impact factor: 6.202

3.  A correction for axis misalignment in the joint angle curves representing knee movement in gait analysis.

Authors:  Louis-Paul Rivest
Journal:  J Biomech       Date:  2005-08       Impact factor: 2.712

4.  Anterior cruciate ligament injuries in female athletes: Part 2, a meta-analysis of neuromuscular interventions aimed at injury prevention.

Authors:  Timothy E Hewett; Kevin R Ford; Gregory D Myer
Journal:  Am J Sports Med       Date:  2005-12-28       Impact factor: 6.202

5.  Comparison between visual and three-dimensional gait analysis in patients with spastic diplegic cerebral palsy.

Authors:  Catia Miyuki Kawamura; Mauro César de Morais Filho; Milena Moreira Barreto; Sabrina Kyoko de Paula Asa; Yara Juliano; Neil Ferreira Novo
Journal:  Gait Posture       Date:  2006-01-23       Impact factor: 2.840

6.  Comparison of selected lateral cutting activities used to assess ACL injury risk.

Authors:  Kristian M O'Connor; Sarika K Monteiro; Ian A Hoelker
Journal:  J Appl Biomech       Date:  2009-02       Impact factor: 1.833

7.  Measurement of the screw-home motion of the knee is sensitive to errors in axis alignment.

Authors:  S J Piazza; P R Cavanagh
Journal:  J Biomech       Date:  2000-08       Impact factor: 2.712

8.  3-D attitude representation of human joints: a standardization proposal.

Authors:  H J Woltring
Journal:  J Biomech       Date:  1994-12       Impact factor: 2.712

9.  A joint coordinate system for the clinical description of three-dimensional motions: application to the knee.

Authors:  E S Grood; W J Suntay
Journal:  J Biomech Eng       Date:  1983-05       Impact factor: 2.097

10.  The envelope of passive knee joint motion.

Authors:  L Blankevoort; R Huiskes; A de Lange
Journal:  J Biomech       Date:  1988       Impact factor: 2.712

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  9 in total

1.  Comparison of optical and MR-based tracking.

Authors:  Kazim Gumus; Brian Keating; Nathan White; Brian Andrews-Shigaki; Brian Armstrong; Julian Maclaren; Maxim Zaitsev; Anders Dale; Thomas Ernst
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2.  VALIDITY OF ATHLETIC TASK PERFORMANCE MEASURES COLLECTED WITH A SINGLE-CAMERA MOTION ANALYSIS SYSTEM AS COMPARED TO STANDARD CLINICAL MEASUREMENTS.

Authors:  April L McPherson; John D Berry; Nathanial A Bates; Timothy E Hewett
Journal:  Int J Sports Phys Ther       Date:  2017-08

3.  Real-time motion and B0 correction for localized adiabatic selective refocusing (LASER) MRSI using echo planar imaging volumetric navigators.

Authors:  Aaron T Hess; Ovidiu C Andronesi; M Dylan Tisdall; A Gregory Sorensen; André J W van der Kouwe; Ernesta M Meintjes
Journal:  NMR Biomed       Date:  2011-07-28       Impact factor: 4.044

4.  Filtration Selection and Data Consilience: Distinguishing Signal from Artefact with Mechanical Impact Simulator Data.

Authors:  Nathan D Schilaty; Nathaniel A Bates; Ryo Ueno; Timothy E Hewett
Journal:  Ann Biomed Eng       Date:  2020-07-06       Impact factor: 3.934

5.  VALIDITY OF AN MRI-COMPATIBLE MOTION CAPTURE SYSTEM FOR USE WITH LOWER EXTREMITY NEUROIMAGING PARADIGMS.

Authors:  Manish Anand; Jed A Diekfuss; Scott Bonnette; Ian Short; Matthew Hurn; Dustin R Grooms; Gregory D Myer
Journal:  Int J Sports Phys Ther       Date:  2020-12

6.  Integrated 3D motion analysis with functional magnetic resonance neuroimaging to identify neural correlates of lower extremity movement.

Authors:  Manish Anand; Jed A Diekfuss; Alexis B Slutsky-Ganesh; Dustin R Grooms; Scott Bonnette; Kim D Barber Foss; Christopher A DiCesare; Jennifer L Hunnicutt; Gregory D Myer
Journal:  J Neurosci Methods       Date:  2021-03-08       Impact factor: 2.390

7.  Measurement and correction of microscopic head motion during magnetic resonance imaging of the brain.

Authors:  Julian Maclaren; Brian S R Armstrong; Robert T Barrows; K A Danishad; Thomas Ernst; Colin L Foster; Kazim Gumus; Michael Herbst; Ilja Y Kadashevich; Todd P Kusik; Qiaotian Li; Cris Lovell-Smith; Thomas Prieto; Peter Schulze; Oliver Speck; Daniel Stucht; Maxim Zaitsev
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

8.  Prospective motion correction improves the sensitivity of fMRI pattern decoding.

Authors:  Pei Huang; Johan D Carlin; Arjen Alink; Nikolaus Kriegeskorte; Richard N Henson; Marta M Correia
Journal:  Hum Brain Mapp       Date:  2018-06-08       Impact factor: 5.038

9.  Repeatability of Motion Health Screening Scores Acquired from a Three-Dimensional Markerless Motion Capture System.

Authors:  Dimitrije Cabarkapa; Damjana V Cabarkapa; Nicolas M Philipp; Gabriel G Downey; Andrew C Fry
Journal:  J Funct Morphol Kinesiol       Date:  2022-09-02
  9 in total

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