Prediction of men's shirt pattern based on 3D body measurements

A.P. Chan, Jintu Fan, W.M. Yu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

22 Citations (Scopus)

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. © Emerald Group Publishing Limited.
Original languageEnglish
Pages (from-to)100-108
Number of pages9
JournalInternational Journal of Clothing Science and Technology
Volume17
Issue number2
DOIs
Publication statusPublished - 13 Jun 2005

Keywords

  • Clothing
  • Measurement
  • Men
  • Multiple regression analysis
  • Physical testing

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Materials Science (miscellaneous)
  • Business, Management and Accounting(all)
  • Polymers and Plastics

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