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Facial shape variation of U.S. respirator users.

Authors
Zhuang-Z; Slice-D; Benson-S; Landsittel-D; Viscusi-D
Source
Digital Human Modeling. Proceedings of the Second International Conference, ICDHM 2009, held as part of HCI International 2009, San Diego, California, July 19-24, 2009. Duffy VG, ed., Berlin: Springer-Verlag, 2009 Aug; 5620:578-587
NIOSHTIC No.
20035824
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.
Keywords
Anthropometry; Equipment-design; Equipment-reliability; Face-masks; Inhalation-studies; Personal-protective-equipment; Protective-equipment; Qualitative-analysis; Respirators; Respiratory-protection; Respiratory-protective-equipment; Safety-measures Statistical-analysis; Author Keywords: anthropometry; geometric morphometrics; respirators
Contact
Ziqing Zhuang, National Personal Protective Technology Laboratory, National Institute for Occupational Safety and Health, Pittsburgh, PA 15236, USA
Publication Date
20090812
Document Type
Conference/Symposia Proceedings
Editors
Duffy-VG
Fiscal Year
2009
NTIS Accession No.
NTIS Price
ISBN No.
9783642028083
ISSN
0302-9743
NIOSH Division
NPPTL
Source Name
Digital Human Modeling. Proceedings of the Second International Conference, ICDHM 2009, held as part of HCI International 2009, San Diego, California, July 19-24, 2009
State
PA
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