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Virtual test persons based on diverse anthropometric data for ergonomics simulations and analysis
University of Skövde, School of Engineering Science. (User Centred Product Design)
University of Skövde, School of Engineering Science. (User Centred Product Design)ORCID iD: 0000-0003-4596-3815
University of Skövde, School of Engineering Science. Industrial Development, Scania CV. (User Centred Product Design)
Fraunhofer-Chalmers Centre, Gothenburg, Sweden.
2017 (English)Conference 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. 232-239 p.
Keyword [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
Identifiers
URN: urn:nbn:se:his:diva-14050ISBN: 978-91-7753-152-4 (electronic)OAI: oai:DiVA.org:his-14050DiVA: diva2:1136830
Conference
Proceedings of the 49th NES 2017 Conference "Joy at Work", Lund, August 20-23, 2017
Projects
VEAPVirtual Verification of Human-Robot CollaborationCROMM
Funder
Knowledge Foundation, 20160292VINNOVA, 2015-03719VINNOVA, 2012-04584
Available from: 2017-08-29 Created: 2017-08-29 Last updated: 2017-08-29

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf