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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9782389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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