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

Recent advancements in Inertial Measurement Units (IMUs) offers the possibility of its use as a cost effective and portable alternative to traditional optoelectronic motion capture systems in analyzing biomechanical performance. One such commercially available IMU is the Perception Neuron motion cap...

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Autores principales: Choo, Corliss Zhi Yi, Chow, Jia Yi, Komar, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782534/
https://www.ncbi.nlm.nih.gov/pubmed/35061781
http://dx.doi.org/10.1371/journal.pone.0262730
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author Choo, Corliss Zhi Yi
Chow, Jia Yi
Komar, John
author_facet Choo, Corliss Zhi Yi
Chow, Jia Yi
Komar, John
author_sort Choo, Corliss Zhi Yi
collection PubMed
description Recent advancements in Inertial Measurement Units (IMUs) offers the possibility of its use as a cost effective and portable alternative to traditional optoelectronic motion capture systems in analyzing biomechanical performance. One such commercially available IMU is the Perception Neuron motion capture system (PNS). The accuracy of the PNS had been tested and was reported to be a valid method for assessing the upper body range of motion to within 5° RMSE. However, testing of the PNS was limited to upper body motion involving functional movement within a single plane. Therefore, the purpose of this study is to further validate the Perception Neuron system with reference to a conventional optoelectronic motion capture system (VICON) through the use of dynamic movements (e.g., walking, jogging and a multi-articular sports movement with object manipulation) and to determine its feasibility through full-body kinematic analysis. Validation was evaluated using Pearson’s R correlation, RMSE and Bland-Altman estimates. Present findings suggest that the PNS performed well against the VICON motion analysis system with most joint angles reporting a RMSE of < 4° and strong average Pearson’s R correlation of 0.85, with the exception of the shoulder abduction/adduction where RMSE was larger and Pearson’s R correlation at a moderate level. Bland-Altman analysis revealed that most joint angles across the different movements had a mean bias of less than 10°, except for the shoulder abduction/adduction and elbow flexion/extension measurements. It was concluded that the PNS may not be the best substitute for traditional motion analysis technology if there is a need to replicate raw joint angles. However, there was adequate sensitivity to measure changes in joint angles and would be suitable when normalized joint angles are compared and the focus of analysis is to identify changes in movement patterns.
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spelling pubmed-87825342022-01-22 Validation of the Perception Neuron system for full-body motion capture Choo, Corliss Zhi Yi Chow, Jia Yi Komar, John PLoS One Research Article Recent advancements in Inertial Measurement Units (IMUs) offers the possibility of its use as a cost effective and portable alternative to traditional optoelectronic motion capture systems in analyzing biomechanical performance. One such commercially available IMU is the Perception Neuron motion capture system (PNS). The accuracy of the PNS had been tested and was reported to be a valid method for assessing the upper body range of motion to within 5° RMSE. However, testing of the PNS was limited to upper body motion involving functional movement within a single plane. Therefore, the purpose of this study is to further validate the Perception Neuron system with reference to a conventional optoelectronic motion capture system (VICON) through the use of dynamic movements (e.g., walking, jogging and a multi-articular sports movement with object manipulation) and to determine its feasibility through full-body kinematic analysis. Validation was evaluated using Pearson’s R correlation, RMSE and Bland-Altman estimates. Present findings suggest that the PNS performed well against the VICON motion analysis system with most joint angles reporting a RMSE of < 4° and strong average Pearson’s R correlation of 0.85, with the exception of the shoulder abduction/adduction where RMSE was larger and Pearson’s R correlation at a moderate level. Bland-Altman analysis revealed that most joint angles across the different movements had a mean bias of less than 10°, except for the shoulder abduction/adduction and elbow flexion/extension measurements. It was concluded that the PNS may not be the best substitute for traditional motion analysis technology if there is a need to replicate raw joint angles. However, there was adequate sensitivity to measure changes in joint angles and would be suitable when normalized joint angles are compared and the focus of analysis is to identify changes in movement patterns. Public Library of Science 2022-01-21 /pmc/articles/PMC8782534/ /pubmed/35061781 http://dx.doi.org/10.1371/journal.pone.0262730 Text en © 2022 Choo et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Choo, Corliss Zhi Yi
Chow, Jia Yi
Komar, John
Validation of the Perception Neuron system for full-body motion capture
title Validation of the Perception Neuron system for full-body motion capture
title_full Validation of the Perception Neuron system for full-body motion capture
title_fullStr Validation of the Perception Neuron system for full-body motion capture
title_full_unstemmed Validation of the Perception Neuron system for full-body motion capture
title_short Validation of the Perception Neuron system for full-body motion capture
title_sort validation of the perception neuron system for full-body motion capture
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782534/
https://www.ncbi.nlm.nih.gov/pubmed/35061781
http://dx.doi.org/10.1371/journal.pone.0262730
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