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Autonomous Gait Event Detection with Portable Single-Camera Gait Kinematics Analysis System

Yang, Cheng; Ugbolue, Ukadike C.; Kerr, Andrew; Stankovic, Vladimir; Stankovic, Lina; Carse, Bruce; Kaliarntas, Konstantinos T.; Rowe, Philip J.


Cheng Yang

Ukadike C. Ugbolue

Andrew Kerr

Vladimir Stankovic

Lina Stankovic

Bruce Carse

Philip J. Rowe


Laboratory-based nonwearable motion analysis systems have significantly advanced with robust objective measurement of the
limb motion, resulting in quantified, standardized, and reliable outcome measures compared with traditional, semisubjective,
observational gait analysis. However, the requirement for large laboratory space and operational expertise makes these systems
impractical for gait analysis at local clinics and homes. In this paper, we focus on autonomous gait event detection with our bespoke,
relatively inexpensive, and portable, single-camera gait kinematics analysis system. Our proposed systemincludes video acquisition
with camera calibration, Kalman filter + Structural-Similarity-based marker tracking, autonomous knee angle calculation, videoframe-
identification-based autonomous gait event detection, and result visualization. The only operational effort required is the
marker-template selection for tracking initialization, aided by an easy-to-use graphic user interface.The knee angle validation on
10 stroke patients and 5 healthy volunteers against a gold standard optical motion analysis system indicates very good agreement.
The autonomous gait event detection shows high detection rates for all gait events. Experimental results demonstrate that the
proposed system can automatically measure the knee angle and detect gait events with good accuracy and thus offer an alternative,
cost-effective, and convenient solution for clinical gait kinematics analysis.

Journal Article Type Article
Acceptance Date Dec 9, 2015
Online Publication Date Jan 18, 2016
Publication Date 2016
Deposit Date Dec 12, 2017
Publicly Available Date Dec 12, 2017
Journal Journal of Sensors
Print ISSN 1687-725X
Electronic ISSN 1687-7268
Publisher Hindawi
Peer Reviewed Peer Reviewed
Volume 2016
Pages 1-8
Keywords Control and Systems Engineering; Instrumentation; Electrical and Electronic Engineering
Public URL
Contract Date Dec 12, 2017


Autonomous Gait Event Detection with Portable Single-Camera Gait Kinematics Analysis System (3.2 Mb)

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Copyright Statement
Copyright © 2016 Cheng Yang et al. 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.

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