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Facial shape variation of U.S. respirator users

  • National Institute for Occupational Safety and Health
  • Florida State University
  • EGandG Technical Services Inc.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The National Institute for Occupational Safety and Health (NIOSH) conducted a head-and-face anthropometric survey of diverse, civilian respirator users. Of the 3,997 subjects measured using traditional anthropometric techniques, surface scans and 26 three-dimensional (3-D) landmark locations were collected for 953 subjects. The objective of this study was to analyze the size and shape variation of the survey participants using 3-D Generalized Procrustes Analysis (GPA) in order to quantify those facial features that may be relevant to respirator fit using Principal Component Analysis (PCA). The first four principal components (PC) account for 49% of the total sample variation. The first PC indicates that overall size is an important component of facial variability. The second PC accounts for long and narrow or short and wide faces. Longer narrow orbits versus shorter wider orbits can be described by PC3, and PC4 represents variation in the degree of ortho/prognathism with positively scoring individuals having longer, wider, and more projecting lower jaws than negatively scoring individuals. Further study will investigate the correlation between respirator fit and these PCs.

Original languageEnglish
Title of host publicationDigital Human Modeling - Second International Conference, ICDHM 2009 - Held as Part of HCI International 2009, Proceedings
Pages578-587
Number of pages10
DOIs
StatePublished - 2009
Event2nd International Conference on Digital Human Modeling, ICDHM 2009. Held as Part of HCI International 2009 - San Diego, CA, United States
Duration: Jul 19 2009Jul 24 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5620 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Digital Human Modeling, ICDHM 2009. Held as Part of HCI International 2009
Country/TerritoryUnited States
CitySan Diego, CA
Period07/19/0907/24/09

Keywords

  • Anthropometry
  • Geometric morphometrics
  • Respirators

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