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Description of boundary case methodology for anthropometric diversity consideration
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre. Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden. (Produktdesign)ORCID iD: 0000-0002-0125-0832
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre. (Produktdesign)ORCID iD: 0000-0003-4596-3815
Industrial Development, Scania CV, Södertalje, Sweden ; Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.ORCID iD: 0000-0002-7232-9353
2012 (English)In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5549, Vol. 3, no 2, p. 204-223Article in journal (Refereed) Published
Abstract [en]

This paper describes and evaluates the boundary case methodology for the simultaneous consideration of variance for a number of selected anthropometric variables. The methodology includes the calculation of key dimension values for extreme but likely anthropometric measurement combinations. This data can be applied when utilising digital human modelling (DHM) tools for proactive design work and entered as input data when representative manikins are defined. The mathematical procedure is clearly described and exemplified to demonstrate how to use the methodology in design work. The outcome of the method is illustrated and compared using several different cases where the number of measurements is varied and where principal component analysis (PCA) is used to reduce the number of dimensions in one case. The paper demonstrates that the proposed boundary case method is advantageous compared to approaches based on the use of univariate percentile data in design.

Place, publisher, year, edition, pages
InderScience Publishers, 2012. Vol. 3, no 2, p. 204-223
Keywords [en]
Automotive and Transportation Systems, Design and Product Development, Risk, Reliability and Safety, Simulation and Modelling
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-7081DOI: 10.1504/IJHFMS.2012.051097OAI: oai:DiVA.org:his-7081DiVA, id: diva2:601717
Available from: 2013-01-30 Created: 2013-01-30 Last updated: 2023-04-26Bibliographically approved

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Brolin, ErikHögberg, DanHanson, Lars

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