Journal article
Accuracy of a novel marker tracking approach based on the low-cost Microsoft Kinect v2 sensor
A Timmi, G Coates, K Fortin, D Ackland, AL Bryant, I Gordon, P Pivonka
Medical Engineering and Physics | ELSEVIER SCI LTD | Published : 2018
Abstract
Microsoft Kinect for Windows v2 is a motion analysis system that features a markerless human pose estimation algorithm. Given its affordability and portability, Kinect v2 has potential for use in biomechanical research and within clinical settings; however, recent studies suggest high inaccuracy of the markerless algorithm compared to marker-based motion capture systems. A novel tracking method was developed using Kinect v2, employing custom-made colored markers and computer vision techniques. The aim of this study was to test the accuracy of this approach relative to a conventional Vicon motion analysis system, performing a Bland–Altman analysis of agreement. Twenty participants were recrui..
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Grants
Awarded by Defence Health Foundation
Funding Acknowledgements
This study was part-supported by a Defence Health Foundation grant (2015). AT is the recipient of a Melbourne International Research Scholarship provided by The University of Melbourne. ALB is the recipient of a NHMRC Career Development Fellowship (#1053521).