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Effect of IMU Design on IMU-Derived Stride Metrics for Running

Researchers employ foot-mounted inertial measurement units (IMUs) to estimate the three-dimensional trajectory of the feet as well as a rich array of gait parameters. However, the accuracy of those estimates depends critically on the limitations of the accelerometers and angular velocity gyros embed...

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Detalles Bibliográficos
Autores principales: Potter, Michael V, Ojeda, Lauro V, Perkins, Noel C, Cain, Stephen M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603669/
https://www.ncbi.nlm.nih.gov/pubmed/31181688
http://dx.doi.org/10.3390/s19112601
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author Potter, Michael V
Ojeda, Lauro V
Perkins, Noel C
Cain, Stephen M
author_facet Potter, Michael V
Ojeda, Lauro V
Perkins, Noel C
Cain, Stephen M
author_sort Potter, Michael V
collection PubMed
description Researchers employ foot-mounted inertial measurement units (IMUs) to estimate the three-dimensional trajectory of the feet as well as a rich array of gait parameters. However, the accuracy of those estimates depends critically on the limitations of the accelerometers and angular velocity gyros embedded in the IMU design. In this study, we reveal the effects of accelerometer range, gyro range, and sampling frequency on gait parameters (e.g., distance traveled, stride length, and stride angle) estimated using the zero-velocity update (ZUPT) method. The novelty and contribution of this work are that it: (1) quantifies these effects at mean speeds commensurate with competitive distance running (up to 6.4 m/s); (2) identifies the root causes of inaccurate foot trajectory estimates obtained from the ZUPT method; and (3) offers important engineering recommendations for selecting accurate IMUs for studying human running. The results demonstrate that the accuracy of the estimated gait parameters generally degrades with increased mean running speed and with decreased accelerometer range, gyro range, and sampling frequency. In particular, the saturation of the accelerometer and/or gyro induced during running for some IMU designs may render those designs highly inaccurate for estimating gait parameters.
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spelling pubmed-66036692019-07-17 Effect of IMU Design on IMU-Derived Stride Metrics for Running Potter, Michael V Ojeda, Lauro V Perkins, Noel C Cain, Stephen M Sensors (Basel) Article Researchers employ foot-mounted inertial measurement units (IMUs) to estimate the three-dimensional trajectory of the feet as well as a rich array of gait parameters. However, the accuracy of those estimates depends critically on the limitations of the accelerometers and angular velocity gyros embedded in the IMU design. In this study, we reveal the effects of accelerometer range, gyro range, and sampling frequency on gait parameters (e.g., distance traveled, stride length, and stride angle) estimated using the zero-velocity update (ZUPT) method. The novelty and contribution of this work are that it: (1) quantifies these effects at mean speeds commensurate with competitive distance running (up to 6.4 m/s); (2) identifies the root causes of inaccurate foot trajectory estimates obtained from the ZUPT method; and (3) offers important engineering recommendations for selecting accurate IMUs for studying human running. The results demonstrate that the accuracy of the estimated gait parameters generally degrades with increased mean running speed and with decreased accelerometer range, gyro range, and sampling frequency. In particular, the saturation of the accelerometer and/or gyro induced during running for some IMU designs may render those designs highly inaccurate for estimating gait parameters. MDPI 2019-06-07 /pmc/articles/PMC6603669/ /pubmed/31181688 http://dx.doi.org/10.3390/s19112601 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Potter, Michael V
Ojeda, Lauro V
Perkins, Noel C
Cain, Stephen M
Effect of IMU Design on IMU-Derived Stride Metrics for Running
title Effect of IMU Design on IMU-Derived Stride Metrics for Running
title_full Effect of IMU Design on IMU-Derived Stride Metrics for Running
title_fullStr Effect of IMU Design on IMU-Derived Stride Metrics for Running
title_full_unstemmed Effect of IMU Design on IMU-Derived Stride Metrics for Running
title_short Effect of IMU Design on IMU-Derived Stride Metrics for Running
title_sort effect of imu design on imu-derived stride metrics for running
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603669/
https://www.ncbi.nlm.nih.gov/pubmed/31181688
http://dx.doi.org/10.3390/s19112601
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