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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...

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Autores principales: Auvinet, Edouard, Multon, Franck, Meunier, Jean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
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.
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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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