Steinebach, Tim ; Grosse, E. H. ; Glock, C. H. ; Wakula, Jurij ; Lunin, Alexander (2020)
Accuracy evaluation of two markerless motion capture systems for measurement of upper extremities: Kinect V2 and Captiv.
In: Human Factors and Ergonomics in Manufacturing & Service Industries, 30 (4)
doi: 10.1002/hfm.20840
Artikel, Bibliographie
Kurzbeschreibung (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 (<5°) for all movements except for elbow flexion. The Kinect V2 has sufficient results for joint angles captured without occlusion as well, but the accuracy significantly decreases when occlusion occurs.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2020 |
Autor(en): | Steinebach, Tim ; Grosse, E. H. ; Glock, C. H. ; Wakula, Jurij ; Lunin, Alexander |
Art des Eintrags: | Bibliographie |
Titel: | Accuracy evaluation of two markerless motion capture systems for measurement of upper extremities: Kinect V2 and Captiv. |
Sprache: | Englisch |
Publikationsjahr: | März 2020 |
Verlag: | Wiley Periodicals, Inc. |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Human Factors and Ergonomics in Manufacturing & Service Industries |
Jahrgang/Volume einer Zeitschrift: | 30 |
(Heft-)Nummer: | 4 |
DOI: | 10.1002/hfm.20840 |
URL / URN: | https://onlinelibrary.wiley.com/doi/pdf/10.1002/hfm.20840 |
Kurzbeschreibung (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 (<5°) for all movements except for elbow flexion. The Kinect V2 has sufficient results for joint angles captured without occlusion as well, but the accuracy significantly decreases when occlusion occurs. |
Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD) 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Produktion und Supply Chain Management 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Industrielles Management |
Hinterlegungsdatum: | 24 Mär 2020 11:43 |
Letzte Änderung: | 20 Mai 2021 12:33 |
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