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Quantification of Error Sources with Inertial Measurement Units in Sports

Background: Inertial measurement units (IMUs) offer the possibility to capture the lower body motions of players of outdoor team sports. However, various sources of error are present when using IMUs: the definition of the body frames, the soft tissue artefact (STA) and the orientation filter. Method...

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Autores principales: Kamstra, Haye, Wilmes, Erik, van der Helm, Frans C. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782389/
https://www.ncbi.nlm.nih.gov/pubmed/36560134
http://dx.doi.org/10.3390/s22249765
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author Kamstra, Haye
Wilmes, Erik
van der Helm, Frans C. T.
author_facet Kamstra, Haye
Wilmes, Erik
van der Helm, Frans C. T.
author_sort Kamstra, Haye
collection PubMed
description Background: Inertial measurement units (IMUs) offer the possibility to capture the lower body motions of players of outdoor team sports. However, various sources of error are present when using IMUs: the definition of the body frames, the soft tissue artefact (STA) and the orientation filter. Methods to minimize these errors are currently being used without knowing their exact influence on the various sources of errors. The goal of this study was to present a method to quantify each of the sources of error of an IMU separately. Methods: An optoelectronic system was used as a gold standard. Rigid marker clusters (RMCs) were designed to construct a rigid connection between the IMU and four markers. This allowed for the separate quantification of each of the sources of error. Ten subjects performed nine different football-specific movements, varying both in the type of movement, and in movement intensity. Results: The error of the definition of the body frames (11.3–18.7 deg RMSD), the STA (3.8–9.1 deg RMSD) and the error of the orientation filter (3.0–12.7 deg RMSD) were all quantified separately for each body segment. Conclusions: The error sources of IMU-based motion analysis were quantified separately. This allows future studies to quantify and optimize the effects of error reduction techniques.
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spelling pubmed-97823892022-12-24 Quantification of Error Sources with Inertial Measurement Units in Sports Kamstra, Haye Wilmes, Erik van der Helm, Frans C. T. Sensors (Basel) Article Background: Inertial measurement units (IMUs) offer the possibility to capture the lower body motions of players of outdoor team sports. However, various sources of error are present when using IMUs: the definition of the body frames, the soft tissue artefact (STA) and the orientation filter. Methods to minimize these errors are currently being used without knowing their exact influence on the various sources of errors. The goal of this study was to present a method to quantify each of the sources of error of an IMU separately. Methods: An optoelectronic system was used as a gold standard. Rigid marker clusters (RMCs) were designed to construct a rigid connection between the IMU and four markers. This allowed for the separate quantification of each of the sources of error. Ten subjects performed nine different football-specific movements, varying both in the type of movement, and in movement intensity. Results: The error of the definition of the body frames (11.3–18.7 deg RMSD), the STA (3.8–9.1 deg RMSD) and the error of the orientation filter (3.0–12.7 deg RMSD) were all quantified separately for each body segment. Conclusions: The error sources of IMU-based motion analysis were quantified separately. This allows future studies to quantify and optimize the effects of error reduction techniques. MDPI 2022-12-13 /pmc/articles/PMC9782389/ /pubmed/36560134 http://dx.doi.org/10.3390/s22249765 Text en © 2022 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
Kamstra, Haye
Wilmes, Erik
van der Helm, Frans C. T.
Quantification of Error Sources with Inertial Measurement Units in Sports
title Quantification of Error Sources with Inertial Measurement Units in Sports
title_full Quantification of Error Sources with Inertial Measurement Units in Sports
title_fullStr Quantification of Error Sources with Inertial Measurement Units in Sports
title_full_unstemmed Quantification of Error Sources with Inertial Measurement Units in Sports
title_short Quantification of Error Sources with Inertial Measurement Units in Sports
title_sort quantification of error sources with inertial measurement units in sports
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782389/
https://www.ncbi.nlm.nih.gov/pubmed/36560134
http://dx.doi.org/10.3390/s22249765
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