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Validation of a 3D Camera System for Cycling Analysis

Background: Kinematic analysis aimed toward scientific investigation or professional purposes is commonly unaffordable and complex to use. Objective: The purpose of this study was to verify concurrent validation between a cycling-specific 3D camera and the gold-standard 3D general camera systems. Me...

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Autores principales: Scoz, Robson Dias, Espindola, Thiago Roberto, Santiago, Mateus Freitas, de Oliveira, Paulo Rui, Alves, Bruno Mazziotti Oliveira, Ferreira, Luciano Maia Alves, Amorim, César Ferreira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271997/
https://www.ncbi.nlm.nih.gov/pubmed/34208808
http://dx.doi.org/10.3390/s21134473
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author Scoz, Robson Dias
Espindola, Thiago Roberto
Santiago, Mateus Freitas
de Oliveira, Paulo Rui
Alves, Bruno Mazziotti Oliveira
Ferreira, Luciano Maia Alves
Amorim, César Ferreira
author_facet Scoz, Robson Dias
Espindola, Thiago Roberto
Santiago, Mateus Freitas
de Oliveira, Paulo Rui
Alves, Bruno Mazziotti Oliveira
Ferreira, Luciano Maia Alves
Amorim, César Ferreira
author_sort Scoz, Robson Dias
collection PubMed
description Background: Kinematic analysis aimed toward scientific investigation or professional purposes is commonly unaffordable and complex to use. Objective: The purpose of this study was to verify concurrent validation between a cycling-specific 3D camera and the gold-standard 3D general camera systems. Methods: Overall, 11 healthy amateur male triathletes were filmed riding their bicycles with Vicon 3D cameras and the Retul 3D cameras for bike fitting analysis simultaneously. All 18 kinematic measurements given by the bike fitting system were compared with the same data given by Vicon cameras through Pearson correlation (r), intraclass correlation coefficients (ICC), standard error measurements (SEM), and Bland–Altman (BA) analysis. Confidence intervals of 95% are given. Results: A very high correlation between cameras was found on six of 18 measurements. All other presented a high correlation between cameras (between 0.7 and 0.9). In total, six variables indicate a SEM of less than one degree between systems. Only two variables indicate a SEM higher than two degrees between camera systems. Overall, four measures indicate bias tendency according to BA. Conclusions: The cycling-specific led-emitting 3D camera system tested revealed a high or very high degree of correlation with the gold-standard 3D camera system used in laboratory motion capture. In total, 14 measurements of this equipment could be used in sports medicine clinical practice and even by researchers of cycling studies.
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spelling pubmed-82719972021-07-11 Validation of a 3D Camera System for Cycling Analysis Scoz, Robson Dias Espindola, Thiago Roberto Santiago, Mateus Freitas de Oliveira, Paulo Rui Alves, Bruno Mazziotti Oliveira Ferreira, Luciano Maia Alves Amorim, César Ferreira Sensors (Basel) Article Background: Kinematic analysis aimed toward scientific investigation or professional purposes is commonly unaffordable and complex to use. Objective: The purpose of this study was to verify concurrent validation between a cycling-specific 3D camera and the gold-standard 3D general camera systems. Methods: Overall, 11 healthy amateur male triathletes were filmed riding their bicycles with Vicon 3D cameras and the Retul 3D cameras for bike fitting analysis simultaneously. All 18 kinematic measurements given by the bike fitting system were compared with the same data given by Vicon cameras through Pearson correlation (r), intraclass correlation coefficients (ICC), standard error measurements (SEM), and Bland–Altman (BA) analysis. Confidence intervals of 95% are given. Results: A very high correlation between cameras was found on six of 18 measurements. All other presented a high correlation between cameras (between 0.7 and 0.9). In total, six variables indicate a SEM of less than one degree between systems. Only two variables indicate a SEM higher than two degrees between camera systems. Overall, four measures indicate bias tendency according to BA. Conclusions: The cycling-specific led-emitting 3D camera system tested revealed a high or very high degree of correlation with the gold-standard 3D camera system used in laboratory motion capture. In total, 14 measurements of this equipment could be used in sports medicine clinical practice and even by researchers of cycling studies. MDPI 2021-06-30 /pmc/articles/PMC8271997/ /pubmed/34208808 http://dx.doi.org/10.3390/s21134473 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Scoz, Robson Dias
Espindola, Thiago Roberto
Santiago, Mateus Freitas
de Oliveira, Paulo Rui
Alves, Bruno Mazziotti Oliveira
Ferreira, Luciano Maia Alves
Amorim, César Ferreira
Validation of a 3D Camera System for Cycling Analysis
title Validation of a 3D Camera System for Cycling Analysis
title_full Validation of a 3D Camera System for Cycling Analysis
title_fullStr Validation of a 3D Camera System for Cycling Analysis
title_full_unstemmed Validation of a 3D Camera System for Cycling Analysis
title_short Validation of a 3D Camera System for Cycling Analysis
title_sort validation of a 3d camera system for cycling analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271997/
https://www.ncbi.nlm.nih.gov/pubmed/34208808
http://dx.doi.org/10.3390/s21134473
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