Literature DB >> 24315287

Accuracy and repeatability of joint angles measured using a single camera markerless motion capture system.

Anne Schmitz1, Mao Ye2, Robert Shapiro3, Ruigang Yang2, Brian Noehren4.   

Abstract

Markerless motion capture systems have developed in an effort to evaluate human movement in a natural setting. However, the accuracy and reliability of these systems remain understudied. Therefore, the goals of this study were to quantify the accuracy and repeatability of joint angles using a single camera markerless motion capture system and to compare the markerless system performance with that of a marker-based system. A jig was placed in multiple static postures with marker trajectories collected using a ten camera motion analysis system. Depth and color image data were simultaneously collected from a single Microsoft Kinect camera, which was subsequently used to calculate virtual marker trajectories. A digital inclinometer provided a measure of ground-truth for sagittal and frontal plane joint angles. Joint angles were calculated with marker data from both motion capture systems using successive body-fixed rotations. The sagittal and frontal plane joint angles calculated from the marker-based and markerless system agreed with inclinometer measurements by <0.5°. The systems agreed with each other by <0.5° for sagittal and frontal plane joint angles and <2° for transverse plane rotation. Both systems showed a coefficient of reliability <0.5° for all angles. These results illustrate the feasibility of a single camera markerless motion capture system to accurately measure lower extremity kinematics and provide a first step in using this technology to discern clinically relevant differences in the joint kinematics of patient populations.
© 2013 Published by Elsevier Ltd.

Entities:  

Keywords:  Accuracy and reliability; Joint angles; Microsoft Kinect; Motion capture

Mesh:

Year:  2013        PMID: 24315287     DOI: 10.1016/j.jbiomech.2013.11.031

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  28 in total

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Journal:  PLoS One       Date:  2015-03-26       Impact factor: 3.240

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Authors:  Andrea Castelli; Gabriele Paolini; Andrea Cereatti; Ugo Della Croce
Journal:  Comput Math Methods Med       Date:  2015-04-30       Impact factor: 2.238

9.  An Evaluation of Motion Trackers with Virtual Reality Sensor Technology in Comparison to a Marker-Based Motion Capture System Based on Joint Angles for Ergonomic Risk Assessment.

Authors:  Jan P Vox; Anika Weber; Karen Insa Wolf; Krzysztof Izdebski; Thomas Schüler; Peter König; Frank Wallhoff; Daniel Friemert
Journal:  Sensors (Basel)       Date:  2021-05-01       Impact factor: 3.576

10.  Simple benchmarking method for determining the accuracy of depth cameras in body landmark location estimation: Static upright posture as a measurement example.

Authors:  Pin-Ling Liu; Chien-Chi Chang; Jia-Hua Lin; Yoshiyuki Kobayashi
Journal:  PLoS One       Date:  2021-07-21       Impact factor: 3.240

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