Accuracy evaluation of two markerless motion capture systems for measurement of upper extremities: Kinect V2 and Captiv

Tim Steinebach, E. H. Grosse, C. H. Glock, Jurij Wakula and Alexander Lunin

Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL)

Abstract: Motion capturing is a promising method to assess working postures and human movements and, therewith, the risk of musculoskeletal injuries that could occur while performing manual tasks in industrial settings. To obtain a reliable risk assessment, the motion capture system used has to accurately measure body postures adopted by the worker during the task. This study evaluates the accuracy to measure joint angles of upper extremities of two different motion capture systems, namely the Microsoft Kinect V2 and the Captiv system, for angles of upper extremities. For this purpose, an experimental study was conducted involving 12 subjects performing preset static postures and basic movements, including elbow flexion, shoulder flexion, and shoulder abduction. In addition, to examine whether self‐occlusion or occlusion of body parts by work equipment has an impact on the accuracy of the Kinect V2, the subjects handled boxes during some of the tests. As a gold standard, a goniometer for static and an angle scale for dynamic exercises was used. The Captiv system shows high correlation coefficients (r > .93) and small mean absolute errors (

Date: 2020-03
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Published in Human Factors and Ergonomics in Manufacturing & Service Industries 4 (2020-03) : pp. 291-302

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Persistent link: https://EconPapers.repec.org/RePEc:dar:wpaper:119699

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