Using multivariate analysis to select accommodation boundary manikins from a population database

Devon K. Boyd, Matthew B. Parkinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Digital Human Models (DHMs) are a tool that can be used to aid in determining dimensions for human-centered designs. DHMs have the ability to represent the anthropometric extremes of the population and help to determine which dimensions should be used to acquire a certain level of accommodation within a population. It is not possible to use current techniques for selecting manikins that represent a population, like principal component analysis (PCA), the application of design families, or percentiles due to these methods having a lower output accommodation levels than expected. The purpose of this research is to provide a multivariate analysis based on Pareto optimization. This method determines a pool of manikins representing the total target population when comparing up to three anthropometric dimensions within a database. This pool will act as boundary manikins for a given level of accommodation.

Original languageEnglish (US)
Title of host publication41st Design Automation Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791857083
DOIs
StatePublished - Jan 1 2015
EventASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015 - Boston, United States
Duration: Aug 2 2015Aug 5 2015

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume2B-2015

Other

OtherASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015
CountryUnited States
CityBoston
Period8/2/158/5/15

Fingerprint

Multivariate Analysis
Principal component analysis
Pareto Optimization
Human-centered Design
Percentile
Principal Component Analysis
Three-dimension
Extremes
Target
Output
Model
Human

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Cite this

Boyd, D. K., & Parkinson, M. B. (2015). Using multivariate analysis to select accommodation boundary manikins from a population database. In 41st Design Automation Conference (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2B-2015). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC201547504
Boyd, Devon K. ; Parkinson, Matthew B. / Using multivariate analysis to select accommodation boundary manikins from a population database. 41st Design Automation Conference. American Society of Mechanical Engineers (ASME), 2015. (Proceedings of the ASME Design Engineering Technical Conference).
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Boyd, DK & Parkinson, MB 2015, Using multivariate analysis to select accommodation boundary manikins from a population database. in 41st Design Automation Conference. Proceedings of the ASME Design Engineering Technical Conference, vol. 2B-2015, American Society of Mechanical Engineers (ASME), ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015, Boston, United States, 8/2/15. https://doi.org/10.1115/DETC201547504

Using multivariate analysis to select accommodation boundary manikins from a population database. / Boyd, Devon K.; Parkinson, Matthew B.

41st Design Automation Conference. American Society of Mechanical Engineers (ASME), 2015. (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2B-2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Boyd DK, Parkinson MB. Using multivariate analysis to select accommodation boundary manikins from a population database. In 41st Design Automation Conference. American Society of Mechanical Engineers (ASME). 2015. (Proceedings of the ASME Design Engineering Technical Conference). https://doi.org/10.1115/DETC201547504