his.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Generation and evaluation of distributed cases by clustering of diverse anthropometric data
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden. (Användarcentrerad produktdesign, User Centred Product Design)ORCID-id: 0000-0002-0125-0832
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. (Användarcentrerad produktdesign, User Centred Product Design)ORCID-id: 0000-0003-4596-3815
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. Industrial Development, Scania, Scania CV, Södertälje, Sweden / Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden. (Användarcentrerad produktdesign, User Centred Product Design)ORCID-id: 0000-0002-7232-9353
Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.
2016 (engelsk)Inngår i: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5557, Vol. 5, nr 3, s. 210-229Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper describes a study where diversity in body size, strength and joint range of motion, together with diversity in other capability measurements, is included in the process of generating data for a group of test cases using cluster analysis. Descriptive statistics and correlation data was acquired for 15 variables for different age groups and both sexes. Based on this data, a population of 10,000 individuals was synthesised using correlated random numbers. The synthesised data was used in cluster analyses where three different clustering algorithms were applied and evaluated; hierarchical clustering, k-means clustering and Gaussian mixture distribution clustering. Results from the study show that the three clustering algorithms produce groups of test cases with different characteristics, where the hierarchical and k-means algorithm give the most diverse results and where the Gaussian mixture distribution gives results that are in between the first two.

sted, utgiver, år, opplag, sider
InderScience Publishers, 2016. Vol. 5, nr 3, s. 210-229
Emneord [en]
anthropometry, diversity, distributed cases, clustering, strength, flexibility, joint range of motion, ROM, capability, digital human modelling, DHM
HSV kategori
Forskningsprogram
Teknik; Användarcentrerad produktdesign
Identifikatorer
URN: urn:nbn:se:his:diva-13095DOI: 10.1504/IJHFMS.2016.10000533OAI: oai:DiVA.org:his-13095DiVA, id: diva2:1046337
Prosjekter
CROMM
Forskningsfinansiär
VINNOVA, 2012-04584Tilgjengelig fra: 2016-11-14 Laget: 2016-11-13 Sist oppdatert: 2018-11-15bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekst

Personposter BETA

Brolin, ErikHögberg, DanHanson, Lars

Søk i DiVA

Av forfatter/redaktør
Brolin, ErikHögberg, DanHanson, Lars
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 709 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf