Accuracy of KinectOne to quantify kinematics of the upper body.
Motion analysis systems deliver quantitative information, e.g. on the progress of rehabilitation programs aimed at improving range of motion. Markerless systems are of interest for clinical application because they are low-cost and easy to use. The first generation of the Kinect™ sensor showed promising results in validity assessment compared to an established marker-based system. However, no literature is available on the validity of the new 'Kinect™ for Xbox one' (KinectOne) in tracking upper body motion. Consequently, this study was conducted to analyze the accuracy and reliability of the KinectOne in tracking upper body motion. Twenty subjects performed shoulder abduction in frontal and scapula plane, flexion, external rotation and horizontal flexion in two conditions (sitting and standing). Arm and trunk motion were analyzed using the KinectOne and compared to a marker-based system. Comparisons were made using Bland Altman statistics and Coefficient of Multiple Correlation. On average, differences between systems of 3.9±4.0° and 0.1±3.8° were found for arm and trunk motion, respectively. Correlation was higher for the arm than for the trunk motion. Based on the observed bias, the accuracy of the KinectOne was found to be adequate to measure arm motion in a clinical setting. Although trunk motion showed a very low absolute bias between the two systems, the KinectOne was not able to track small changes over time. Before the KinectOne can find clinical application, further research is required analyzing whether validity can be improved using a customized tracking algorithm or other sensor placement, and to analyze test-retest reliability.
Zurich University of Applied Sciences, School of Engineering, Institute of Mechanical Systems, Biomechanical Engineering, Technikumstrasse 9, 8401 Winterthur, Switzerland.
Roman P
RP
Kuster
Zurich University of Applied Sciences, School of Engineering, Institute of Mechanical Systems, Biomechanical Engineering, Technikumstrasse 9, 8401 Winterthur, Switzerland.
Bernd
B
Heinlein
Zurich University of Applied Sciences, School of Health Professions, Institute of Physiotherapy, Technikumstrasse 71, 8401 Winterthur, Switzerland.
Christoph M
CM
Bauer
Zurich University of Applied Sciences, School of Health Professions, Institute of Physiotherapy, Technikumstrasse 71, 8401 Winterthur, Switzerland. Electronic address: eveline.graf@zhaw.ch.
Eveline S
ES
Graf
D000328:Adult; D001696:Biomechanical Phenomena / Q000502:physiology; D005260:Female; D006801:Humans; D007596:Joints / Q000502:physiology; D008297:Male; D009068:Movement / Q000502:physiology*; D016059:Range of Motion, Articular / Q000502:physiology; D015203:Reproducibility of Results; D012984:Software; D060726:Torso / Q000502:physiology; D034941:Upper Extremity / Q000502:physiology*
Kinect™ for Xbox One; Kinematics; Upper extremity; Validity