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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Main Authors: Edouard Auvinet, Franck Multon, Jean Meunier
Format: Article
Language:English
Published: MDPI AG 2015-02-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/3/4605
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spelling doaj-b1c2878eaeac4bd1a9d539ef976cc1142020-11-24T21:56:56ZengMDPI AGSensors1424-82202015-02-011534605462310.3390/s150304605s150304605New Lower-Limb Gait Asymmetry Indices Based on a Depth CameraEdouard Auvinet0Franck Multon1Jean Meunier2University Rennes 2, ENS Rennes, Campus de Ker lann, Avenue Robert Schuman, Bruz 35170, FranceUniversity Rennes 2, ENS Rennes, Campus de Ker lann, Avenue Robert Schuman, Bruz 35170, FranceUniversité de Montréal, C.P. 6128, succ. Centre-ville, Montréal H3C 3J7, QC, CanadaBackground: 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.http://www.mdpi.com/1424-8220/15/3/4605gaitasymmetryKinectdepth camera
collection DOAJ
language English
format Article
sources DOAJ
author Edouard Auvinet
Franck Multon
Jean Meunier
spellingShingle Edouard Auvinet
Franck Multon
Jean Meunier
New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera
Sensors
gait
asymmetry
Kinect
depth camera
author_facet Edouard Auvinet
Franck Multon
Jean Meunier
author_sort Edouard Auvinet
title 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_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_sort new lower-limb gait asymmetry indices based on a depth camera
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-02-01
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.
topic gait
asymmetry
Kinect
depth camera
url http://www.mdpi.com/1424-8220/15/3/4605
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