Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16625
Title: Prediction of girdle's pressure on human body from the pressure measurement on a dummy
Authors: Fan, J
Chan, AP
Keywords: Body regions
Clothing
Pressure
Issue Date: 2005
Publisher: Emerald Group Publishing Limited
Source: International journal of clothing science and technology, 2005, v. 17, no. 1, p. 6-12 How to cite?
Journal: International journal of clothing science and technology 
Abstract: Purpose - This paper reports on the development of a method for the prediction of clothing pressure of girdles on the human body. Design/methodology/approach - In this paper, we propose to use a standard mannequin dummy to measure the clothing pressure of girdles and from which to predict the pressure on the different human body. An improved mathematical programming method for numerical simulation of cloth wrinkling is investigated. Findings - In general, the prediction equations of the model are effective in estimating the clothing pressure on the human body from the clothing pressure on a standard mannequin dummy. Practical implications - The method may be used by the manufacturers of girdles to test their products on a dummy to see whether the pressure distribution is satisfactory to the targeted group of consumers. It can also be used by consumers to assess the suitability of girdles based on the estimated clothing pressure, which may be predicted from the pressure pre-tested on a dummy and the consumer's body characteristics. Originality/value - Direct measurement of clothing pressure on human body for the evaluation of pressure garments is time consuming, expensive. It is therefore desirable to predict the girdle's pressure instead of the direct measurement on human subjects. The method may be used by manufacturers of girdles as well as by consumers.
URI: http://hdl.handle.net/10397/16625
ISSN: 0955-6222
EISSN: 1758-5953
DOI: 10.1108/09556220510577925
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

12
Last Week
0
Last month
0
Citations as of Jul 21, 2017

WEB OF SCIENCETM
Citations

14
Last Week
0
Last month
0
Citations as of May 26, 2017

Page view(s)

29
Last Week
1
Last month
Checked on Jul 9, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.