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Validation of machine vision and action sport cameras for 3D motion analysis model reconstruction
The study investigated the feasibility of using action sport cameras for motion analysis research. Data acquired from two different marker-based motion capture systems and six different camera combinations were analyzed for motion reconstruction accuracy. Two different calibration procedures were us...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687061/ https://www.ncbi.nlm.nih.gov/pubmed/38030646 http://dx.doi.org/10.1038/s41598-023-46937-9 |
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author | Johnson, John David Hales, Michael Emert, Randy |
author_facet | Johnson, John David Hales, Michael Emert, Randy |
author_sort | Johnson, John David |
collection | PubMed |
description | The study investigated the feasibility of using action sport cameras for motion analysis research. Data acquired from two different marker-based motion capture systems and six different camera combinations were analyzed for motion reconstruction accuracy. Two different calibration procedures were used to determine the influence on marker position reconstruction. Static and dynamic calibration mean merit score differences between the reference and experimental camera systems were 0.4 mm and 1.3 mm, respectively. Angular displacement difference between the reference and experimental camera systems range between 0.1 and 2.0 degrees. A systematic bias (− 0.54 to 0.19 degrees) was determined between the reference and the experimental camera systems for range of motion. The mean of the multi-trial findings suggests the machine vision camera system calibrated with a dynamic procedure generated highly accurate three-dimensional reconstructed ROM data (0.5 degree) followed closely by the four action sport cameras implementing a static calibration procedure (0.5 degree). The overall findings suggest the selected machine vision and action sport camera systems produced comparable results to the reference motion analysis system. However, the combination of camera type, processing software, and calibration procedure can influence motion reconstruction accuracy. |
format | Online Article Text |
id | pubmed-10687061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106870612023-11-30 Validation of machine vision and action sport cameras for 3D motion analysis model reconstruction Johnson, John David Hales, Michael Emert, Randy Sci Rep Article The study investigated the feasibility of using action sport cameras for motion analysis research. Data acquired from two different marker-based motion capture systems and six different camera combinations were analyzed for motion reconstruction accuracy. Two different calibration procedures were used to determine the influence on marker position reconstruction. Static and dynamic calibration mean merit score differences between the reference and experimental camera systems were 0.4 mm and 1.3 mm, respectively. Angular displacement difference between the reference and experimental camera systems range between 0.1 and 2.0 degrees. A systematic bias (− 0.54 to 0.19 degrees) was determined between the reference and the experimental camera systems for range of motion. The mean of the multi-trial findings suggests the machine vision camera system calibrated with a dynamic procedure generated highly accurate three-dimensional reconstructed ROM data (0.5 degree) followed closely by the four action sport cameras implementing a static calibration procedure (0.5 degree). The overall findings suggest the selected machine vision and action sport camera systems produced comparable results to the reference motion analysis system. However, the combination of camera type, processing software, and calibration procedure can influence motion reconstruction accuracy. Nature Publishing Group UK 2023-11-29 /pmc/articles/PMC10687061/ /pubmed/38030646 http://dx.doi.org/10.1038/s41598-023-46937-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Johnson, John David Hales, Michael Emert, Randy Validation of machine vision and action sport cameras for 3D motion analysis model reconstruction |
title | Validation of machine vision and action sport cameras for 3D motion analysis model reconstruction |
title_full | Validation of machine vision and action sport cameras for 3D motion analysis model reconstruction |
title_fullStr | Validation of machine vision and action sport cameras for 3D motion analysis model reconstruction |
title_full_unstemmed | Validation of machine vision and action sport cameras for 3D motion analysis model reconstruction |
title_short | Validation of machine vision and action sport cameras for 3D motion analysis model reconstruction |
title_sort | validation of machine vision and action sport cameras for 3d motion analysis model reconstruction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687061/ https://www.ncbi.nlm.nih.gov/pubmed/38030646 http://dx.doi.org/10.1038/s41598-023-46937-9 |
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