Next Article in Journal
Distance Measurement Error in Time-of-Flight Sensors Due to Shot Noise
Next Article in Special Issue
Tracking Systems for Virtual Rehabilitation: Objective Performance vs. Subjective Experience. A Practical Scenario
Previous Article in Journal
Viability Prediction of Ricinus cummunis L. Seeds Using Multispectral Imaging
Previous Article in Special Issue
False Alarm Reduction in BSN-Based Cardiac Monitoring Using Signal Quality and Activity Type Information
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(3), 4605-4623; doi:10.3390/s150304605

New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera

1
University Rennes 2, ENS Rennes, Campus de Ker lann, Avenue Robert Schuman, Bruz 35170, France
2
Université de Montréal, C.P. 6128, succ. Centre-ville, Montréal H3C 3J7, QC, Canada
3
Inria, Campus Universitaire de Beaulieu, Rennes 35052, France
*
Author to whom correspondence should be addressed.
Academic Editor: Panicos Kyriacou
Received: 23 October 2014 / Revised: 13 January 2015 / Accepted: 9 February 2015 / Published: 24 February 2015
(This article belongs to the Collection Sensors for Globalized Healthy Living and Wellbeing)
View Full-Text   |   Download PDF [1113 KB, uploaded 4 March 2015]   |  

Abstract

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. View Full-Text
Keywords: gait; asymmetry; Kinect; depth camera gait; asymmetry; Kinect; depth camera
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Auvinet, E.; Multon, F.; Meunier, J. New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera. Sensors 2015, 15, 4605-4623.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top