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Methodology for the sizing and desig...

Elliot, Michael Gerard.

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Methodology for the sizing and design of protective helmets using three-dimensional anthropometric data.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Methodology for the sizing and design of protective helmets using three-dimensional anthropometric data./
Author:	Elliot, Michael Gerard.
Description:	219 p.
Notes:	Source: Dissertation Abstracts International, Volume: 59-11, Section: B, page: 5798.
Contained By:	Dissertation Abstracts International59-11B.
Subject:	Health Sciences, Occupational Health and Safety. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9911115
ISBN:	9780599093676

Methodology for the sizing and design of protective helmets using three-dimensional anthropometric data.
Elliot, Michael Gerard.

Methodology for the sizing and design of protective helmets using three-dimensional anthropometric data. - 219 p.

Source: Dissertation Abstracts International, Volume: 59-11, Section: B, page: 5798.

Thesis (Ph.D.)--Colorado State University, 1998.

This dissertation has presented a new method for sizing and design of protective helmets using three-dimensional anthropometric data. The new sizing method includes conducting Principal Component Analysis (PCA) on vectors of the head. The vectors are found by defining a midpoint in the head and then calculating the distance and direction angles from the midpoint to the surface points. The scores from the PCA of the vectors for each of the heads are then used in a K-means clustering routine to partition the sample of heads into different sizes. The helmets are designed for each size based on regression analysis of the vectors and the PCA scores. Three computer programs were written to determine the midpoint in the head, calculate the vectors of the head, and select the vectors that are of interest for design of the helmets.

ISBN: 9780599093676Subjects--Topical Terms:

1017799
Health Sciences, Occupational Health and Safety.

Methodology for the sizing and design of protective helmets using three-dimensional anthropometric data.
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040 $a UnM $c UnM
100 1 $a Elliot, Michael Gerard. $3 1911966
245 1 0 $a Methodology for the sizing and design of protective helmets using three-dimensional anthropometric data.
300 $a 219 p.
500 $a Source: Dissertation Abstracts International, Volume: 59-11, Section: B, page: 5798.
500 $a Adviser: Robin Herron.
502 $a Thesis (Ph.D.)--Colorado State University, 1998.
520 $a This dissertation has presented a new method for sizing and design of protective helmets using three-dimensional anthropometric data. The new sizing method includes conducting Principal Component Analysis (PCA) on vectors of the head. The vectors are found by defining a midpoint in the head and then calculating the distance and direction angles from the midpoint to the surface points. The scores from the PCA of the vectors for each of the heads are then used in a K-means clustering routine to partition the sample of heads into different sizes. The helmets are designed for each size based on regression analysis of the vectors and the PCA scores. Three computer programs were written to determine the midpoint in the head, calculate the vectors of the head, and select the vectors that are of interest for design of the helmets.
520 $a The dissertation compared the new methodology to currently used techniques for the design of close-fitting helmets. One currently used method includes using a bivariate plot of head length and head breadth to select reference heads that are then used for the design dimensions of the new helmet. This research compared the variances of the vectors found from this method to variances of the vectors found from new method. In most cases, the variances were significantly lower (p < 0.05) for the new methodology, than the reference head method. This indicates that the helmets designed from the new method would better fitting having less unused space between the helmet and the head than helmets designed from the reference head method.
520 $a This dissertation may be obtained in an electronic format with full color pictures and drawings by sending an e-mail request to mg_elliott yahoo.com.
590 $a School code: 0053.
650 4 $a Health Sciences, Occupational Health and Safety. $3 1017799
690 $a 0354
710 2 0 $a Colorado State University. $3 675646
773 0 $t Dissertation Abstracts International $g 59-11B.
790 1 0 $a Herron, Robin, $e advisor
790 $a 0053
791 $a Ph.D.
792 $a 1998
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9911115