Accession Number:

ADA220614

Title:

The Application of Kriging in the Statistical Analysis of Anthropometric Data. Volume 2

Descriptive Note:

Master's thesis

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSONAFB OH SCHOOL OF ENGINEERING

Personal Author(s):

Report Date:

1990-03-01

Pagination or Media Count:

255.0

Abstract:

Quality flight equipment is essential to flight crew safety and performance. Oxygen masks, night-vision goggles, and other apparatus must fit crew members comfortably and with complete functional precision. A problem currently facing the Air Force is the inconsistent quality of flight equipment. As new equipment is developed to improve crew members performance, the requirement for design engineers to accurately account for the shape and variability of facial features becomes more critical. This thesis develops the application of kriging in the statistical analysis of anthropometric data to support improvements in the design of flight equipment. Specifically, the geostatistical estimation technique of kriging is used to estimate the facial surfaces which influence the designs of flight apparatus. These surfaces account for the shape of the facial features and minimize the variance between individuals. A Kalman filter is developed to update and aggregate the kriged surfaces. As a proof of concept study, the techniques are demonstrated using data to support the design of the night-vision goggles currently under development. To further enhance the surface estimates, a multivariate analysis is performed to identify the factors which account for the majority of the variability between faces and to group the faces into homogenous clusters. Keywords Theses Anthropometry Equipment fit Statistical analysis Kriging Geostatistics Bayesian statistics Morphometrics Multivariate analysis.

Subject Categories:

  • Statistics and Probability
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE