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, JT 
Yu, WM 
Issue Date: 2005
Source: International journal of clothing science and technology, 2005, v. 17, no. 2, p. 100-108
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.
Keywords: Men
Multiple regression analysis
Physical testing
Measurement
Clothing
Publisher: Emerald Group Publishing Limited
Journal: International journal of clothing science and technology 
ISSN: 0955-6222
EISSN: 1758-5953
DOI: 10.1108/09556220510581245
Appears in Collections:Journal/Magazine Article

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