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Virtual test persons based on diverse anthropometric data for ergonomics simulations and analysis
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Användarcentrerad produktdesign, User Centred Product Design)ORCID iD: 0000-0002-0125-0832
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Användarcentrerad produktdesign, User Centred Product Design)ORCID iD: 0000-0003-4596-3815
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden / Industrial Development, Scania CV, Södertälje, Sweden. (Användarcentrerad produktdesign, User Centred Product Design)ORCID iD: 0000-0002-7232-9353
Fraunhofer-Chalmers Centre, Gothenburg, Sweden.
2017 (English)In: Proceedings of the 49th NES 2017 Conference "Joy at Work", Lund, August 20-23, 2017 / [ed] Anna-Lisa Osvalder, Mikael Blomé and Hajnalka Bodnar, Lund: Lund University, Faculty of Engineering , 2017, p. 232-239Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes a study where diverse anthropometric data is included in the process of generating data for a group of virtual test persons. Data on body size, strength and ROM were either collected on an individual level or predicted and synthesized and then used in cluster analyses to generate six unique virtual test persons. Results show that the method is able to generate detailed virtual test persons which enables more realistic and accurate simulations, as strength and ROM data is included into the motion prediction algorithms used to generate motions.

Place, publisher, year, edition, pages
Lund: Lund University, Faculty of Engineering , 2017. p. 232-239
Keywords [en]
Virtual, test persons, diversity, Digital Human Modelling, strength, range of motion, cluster analysis
National Category
Other Engineering and Technologies
Research subject
User Centred Product Design; INF202 Virtual Ergonomics
Identifiers
URN: urn:nbn:se:his:diva-14050ISBN: 978-91-7753-152-4 (electronic)OAI: oai:DiVA.org:his-14050DiVA, id: diva2:1136830
Conference
NES 2017 "Joy at Work", Lund, Sweden, August 20-23, 2017
Projects
VEAPVirtual Verification of Human-Robot CollaborationCROMM
Funder
Knowledge Foundation, 20160292VINNOVA, 2015-03719VINNOVA, 2012-04584Available from: 2017-08-29 Created: 2017-08-29 Last updated: 2018-11-16Bibliographically approved

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Brolin, ErikHögberg, DanHanson, Lars

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CiteExportLink to record
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Citation style
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Output format
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