Literature DB >> 32517978

A comparison of currently available optoelectronic motion capture systems.

Matt Topley1, James G Richards2.   

Abstract

The measurement of human motion relies heavily on the ability of the optoelectronic motion capture systems to accurately measure retroreflective marker positions. Marker position accuracy is largely dependent on the optical characteristics of the camera system and algorithms implemented in the tracking software. In 1999, Richards critically reviewed multiple camera systems and each of their ability to generate the same marker coordinate positions under different field tests. Field tests were designed utilizing what became to be known as the Standard Assessment of Motion System Accuracy (SAMSA) device. The SAMSA test results indicated that some systems outperformed others and accuracy varied depending on the test. In the subsequent 20 years, motion capture technology has significantly improved. Therefore, we aimed to replicate the tests from 1999 using current, higher-resolution motion capture systems and current calibration techniques. Reference marker distances were established utilizing a FaroArm 3D digitizer (FARO technologies). The modern cameras field test performance showed nearly a three-fold improvement in agreement with the reference measure compared to their 1999 predecessors. No systems' absolute marker distance measured greater than 0.5 mm from the FaroArm measurement and no systems' maximum error exceeded 1.0 mm. Given the consistency in accuracy reported by all the systems included in the current assessment, it's reasonable to assume that the current systems would eliminate errors associated with system hardware/software as an obstacle to sharing data between laboratories.
Copyright © 2020 Elsevier Ltd. All rights reserved.

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Year:  2020        PMID: 32517978     DOI: 10.1016/j.jbiomech.2020.109820

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


  18 in total

Review 1.  Industry 5.0 in Orthopaedics.

Authors:  Madhan Jeyaraman; Arulkumar Nallakumarasamy; Naveen Jeyaraman
Journal:  Indian J Orthop       Date:  2022-08-23       Impact factor: 1.033

2.  Accuracy measurement of different marker based motion analysis systems for biomechanical applications: A round robin study.

Authors:  Stefan Schroeder; Sebastian Jaeger; Jonas Schwer; Andreas Martin Seitz; Isabell Hamann; Michael Werner; Christoph Thorwaechter; Inês Santos; Toni Wendler; Dennis Nebel; Bastian Welke
Journal:  PLoS One       Date:  2022-07-11       Impact factor: 3.752

3.  Compensating for Soft-Tissue Artifact Using the Orientation of Distal Limb Segments During Electromagnetic Motion Capture of the Upper Limb.

Authors:  Zachary Bons; Taylor Dickinson; Ryan Clark; Kari Beardsley; Steven K Charles
Journal:  J Biomech Eng       Date:  2022-07-01       Impact factor: 1.899

4.  Can Markerless Pose Estimation Algorithms Estimate 3D Mass Centre Positions and Velocities during Linear Sprinting Activities?

Authors:  Laurie Needham; Murray Evans; Darren P Cosker; Steffi L Colyer
Journal:  Sensors (Basel)       Date:  2021-04-20       Impact factor: 3.576

5.  Curvature Detection with an Optoelectronic Measurement System Using a Self-Made Calibration Profile.

Authors:  Christoph Thorwartl; Thomas Stöggl; Wolfgang Teufl; Helmut Holzer; Josef Kröll
Journal:  Sensors (Basel)       Date:  2021-12-22       Impact factor: 3.576

Review 6.  Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review.

Authors:  Celia Francisco-Martínez; Juan Prado-Olivarez; José A Padilla-Medina; Javier Díaz-Carmona; Francisco J Pérez-Pinal; Alejandro I Barranco-Gutiérrez; Juan J Martínez-Nolasco
Journal:  Sensors (Basel)       Date:  2021-11-26       Impact factor: 3.576

7.  The accuracy of several pose estimation methods for 3D joint centre localisation.

Authors:  Laurie Needham; Murray Evans; Darren P Cosker; Logan Wade; Polly M McGuigan; James L Bilzon; Steffi L Colyer
Journal:  Sci Rep       Date:  2021-10-19       Impact factor: 4.379

Review 8.  Upper Limb Physical Rehabilitation Using Serious Videogames and Motion Capture Systems: A Systematic Review.

Authors:  Andrea Catherine Alarcón-Aldana; Mauro Callejas-Cuervo; Antonio Padilha Lanari Bo
Journal:  Sensors (Basel)       Date:  2020-10-22       Impact factor: 3.576

9.  Marker Placement Reliability and Objectivity for Biomechanical Cohort Study: Healthy Aging in Industrial Environment (HAIE-Program 4).

Authors:  Jan Malus; Jiri Skypala; Julia Freedman Silvernail; Jaroslav Uchytil; Joseph Hamill; Tomas Barot; Daniel Jandacka
Journal:  Sensors (Basel)       Date:  2021-03-05       Impact factor: 3.576

10.  Validation of the Perception Neuron system for full-body motion capture.

Authors:  Corliss Zhi Yi Choo; Jia Yi Chow; John Komar
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

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