Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • 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
Skewed Boundary Confidence Ellipses for Anthropometric Data
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-0125-0832
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0003-4596-3815
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Scania CV, Södertälje, Sweden. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-7232-9353
2020 (English)In: DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020 / [ed] Lars Hanson, Dan Högberg, Erik Brolin, Amsterdam: IOS Press, 2020, p. 18-27Conference paper, Published paper (Refereed)
Abstract [en]

Some anthropometric measurements, such as body weight often show a positively skewed distribution. Different types of transformations can be applied when handling skewed data in order to make the data more normally distributed. This paper presents and visualises how square root, log normal and, multiplicative inverse transformations can affect the data when creating boundary confidence ellipses. The paper also shows the difference of created manikin families, i.e. groups of manikin cases, when using transformed distributions or not, for three populations with different skewness. The results from the study show that transforming skewed distributions when generating confidence ellipses and boundary cases is appropriate to more accurately consider this type of diversity and correctly describe the shape of the actual skewed distribution. Transforming the data to create accurate boundary confidence regions is thought to be advantageous, as this would create digital manikins with enhanced accuracy that would produce more realistic and accurate simulations and evaluations when using DHM tools for the design of products and workplaces.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2020. p. 18-27
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 11
Keywords [en]
Anthropometry, Skewness, Boundary Cases, Confidence Ellipses
National Category
Production Engineering, Human Work Science and Ergonomics Probability Theory and Statistics
Research subject
User Centred Product Design
Identifiers
URN: urn:nbn:se:his:diva-19120DOI: 10.3233/ATDE200005ISI: 000680825700003Scopus ID: 2-s2.0-85091204037ISBN: 978-1-64368-104-7 (print)ISBN: 978-1-64368-105-4 (electronic)OAI: oai:DiVA.org:his-19120DiVA, id: diva2:1471432
Conference
6th International Digital Human Modeling Symposium, August 31 – September 2, 2020, Skövde, Sweden
Part of project
Synergy Virtual Ergonomics (SVE), Knowledge FoundationVIVA - the Virtual Vehicle Assembler, VinnovaADOPTIVE – Automated Design & Optimisation of Vehicle Ergonomics, Knowledge Foundation
Funder
Knowledge Foundation, 20180167
Note

CC BY-NC 4.0

Funder: Knowledge Foundation and the INFINIT research environment (KKS Dnr. 20180167). This work has been made possible with support from the Knowledge Foundation and the associated INFINIT research environment at the University of Skövde (projects: Synergy Virtual Ergonomics and ADOPTIVE), and with support from Vinnova in the VIVA project, and SAFER - Vehicle and Traffic Safety Centre at Chalmers, Sweden, and by the participating organizations. This support is gratefully acknowledged.

Available from: 2020-09-29 Created: 2020-09-29 Last updated: 2022-04-19Bibliographically approved

Open Access in DiVA

fulltext(945 kB)239 downloads
File information
File name FULLTEXT01.pdfFile size 945 kBChecksum SHA-512
969a360d1a6af53746f06435972b4cb863cb7005b837659720aabbaf7454e3e269ee7bb0554b15bf28a5ced219b35003a7047cd1b109066142a14e379208d3de
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Brolin, ErikHögberg, DanHanson, Lars

Search in DiVA

By author/editor
Brolin, ErikHögberg, DanHanson, Lars
By organisation
School of Engineering ScienceVirtual Engineering Research Environment
Production Engineering, Human Work Science and ErgonomicsProbability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 239 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 404 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • 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