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New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera
Background: Various asymmetry indices have been proposed to compare the spatiotemporal, kinematic and kinetic parameters of lower limbs during the gait cycle. However, these indices rely on gait measurement systems that are costly and generally require manual examination, calibration procedures and...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4435133/ https://www.ncbi.nlm.nih.gov/pubmed/25719863 http://dx.doi.org/10.3390/s150304605 |
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author | Auvinet, Edouard Multon, Franck Meunier, Jean |
author_facet | Auvinet, Edouard Multon, Franck Meunier, Jean |
author_sort | Auvinet, Edouard |
collection | PubMed |
description | Background: Various asymmetry indices have been proposed to compare the spatiotemporal, kinematic and kinetic parameters of lower limbs during the gait cycle. However, these indices rely on gait measurement systems that are costly and generally require manual examination, calibration procedures and the precise placement of sensors/markers on the body of the patient. Methods: To overcome these issues, this paper proposes a new asymmetry index, which uses an inexpensive, easy-to-use and markerless depth camera (Microsoft Kinect™) output. This asymmetry index directly uses depth images provided by the Kinect™ without requiring joint localization. It is based on the longitudinal spatial difference between lower-limb movements during the gait cycle. To evaluate the relevance of this index, fifteen healthy subjects were tested on a treadmill walking normally and then via an artificially-induced gait asymmetry with a thick sole placed under one shoe. The gait movement was simultaneously recorded using a Kinect™ placed in front of the subject and a motion capture system. Results: The proposed longitudinal index distinguished asymmetrical gait (p < 0.001), while other symmetry indices based on spatiotemporal gait parameters failed using such Kinect™ skeleton measurements. Moreover, the correlation coefficient between this index measured by Kinect™ and the ground truth of this index measured by motion capture is 0.968. Conclusion: This gait asymmetry index measured with a Kinect™ is low cost, easy to use and is a promising development for clinical gait analysis. |
format | Online Article Text |
id | pubmed-4435133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-44351332015-05-19 New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera Auvinet, Edouard Multon, Franck Meunier, Jean Sensors (Basel) Article Background: Various asymmetry indices have been proposed to compare the spatiotemporal, kinematic and kinetic parameters of lower limbs during the gait cycle. However, these indices rely on gait measurement systems that are costly and generally require manual examination, calibration procedures and the precise placement of sensors/markers on the body of the patient. Methods: To overcome these issues, this paper proposes a new asymmetry index, which uses an inexpensive, easy-to-use and markerless depth camera (Microsoft Kinect™) output. This asymmetry index directly uses depth images provided by the Kinect™ without requiring joint localization. It is based on the longitudinal spatial difference between lower-limb movements during the gait cycle. To evaluate the relevance of this index, fifteen healthy subjects were tested on a treadmill walking normally and then via an artificially-induced gait asymmetry with a thick sole placed under one shoe. The gait movement was simultaneously recorded using a Kinect™ placed in front of the subject and a motion capture system. Results: The proposed longitudinal index distinguished asymmetrical gait (p < 0.001), while other symmetry indices based on spatiotemporal gait parameters failed using such Kinect™ skeleton measurements. Moreover, the correlation coefficient between this index measured by Kinect™ and the ground truth of this index measured by motion capture is 0.968. Conclusion: This gait asymmetry index measured with a Kinect™ is low cost, easy to use and is a promising development for clinical gait analysis. MDPI 2015-02-24 /pmc/articles/PMC4435133/ /pubmed/25719863 http://dx.doi.org/10.3390/s150304605 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Auvinet, Edouard Multon, Franck Meunier, Jean New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera |
title | New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera |
title_full | New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera |
title_fullStr | New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera |
title_full_unstemmed | New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera |
title_short | New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera |
title_sort | new lower-limb gait asymmetry indices based on a depth camera |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4435133/ https://www.ncbi.nlm.nih.gov/pubmed/25719863 http://dx.doi.org/10.3390/s150304605 |
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