Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62734
Title: Prediction of men's shirt pattern based on 3D body measurements
Authors: Chan, AP
Fan, J
Yu, W 
Keywords: Men
Multiple regression analysis
Physical testing
Measurement
Clothing
Issue Date: 2005
Publisher: Emerald Group Publishing Limited
Source: International journal of clothing science and technology, 2005, v. 17, no. 2, p. 100-108 How to cite?
Journal: International journal of clothing science and technology 
Abstract: Purpose – The paper discusses the prediction of shirt patterns for different body sizes using multiple linear regression (MLR).
Design/methodology/approach – A total of 29 pattern parameters from men's tailor‐made shirt and 34 body parameters obtained from a body scanner were designed for analysis. MLR has been applied to examine the underlying relationship between shirt pattern parameters and body measurements.
Findings– Compared with formulae from the pattern expert, the prediction of shirt pattern from MLR has been improved.
Originality/value – The findings could help to predict pattern size with different body sizes more accurately.
URI: http://hdl.handle.net/10397/62734
ISSN: 0955-6222 (print)
1758-5953 (online)
DOI: 10.1108/09556220510581245
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