Practical Application of 3D Data for Apparel Industry use
This research presented in this paper illustrates the use of 3D and 1D anthropometric data in the selection and design of bio-fidelic (life-like) apparel fit manikins which then results in 2D apparel blocks, patterns and grading. These form a scientific base for apparel product development which improves the developers control, problem solving ability and outcomes. Each manikin is a copy of a real person whose body characteristics are selected using 1D and 3D CAESAR data, information from other anthropometric sources specific to the relevant target market, apparel industry feedback and further assessed on visual factors including posture. Once produced, the manikins are then used in mathematical and physical ways to develop algorithms which translate into 2D apparel patterns and blocks/slopers that form the base for well fitting garments. A teachable method creates versatility in technical aspects of application of this technology to clothing design. Construction based or allometric grading can be applied, which matches pattern growth to body growth. To increase efficiency, improvements need to be applied to existing apparel industry practice, thus developing the sustainability of the industry by reducing costs, improving fit, accommodation and quality assurance.
Clothing anthropometry apparel sizing body forms
Daisy VEITCH Barbara DAVIS
SHARP Dummies Pty Ltd, Adelaide, SA, Australia ICCON Associates, Melbourne, Vic., Australia
国际会议
17th World Congress on Ergonomics(第十七届国际人类工效学大会)
北京
英文
1-7
2009-08-09（万方平台首次上网日期，不代表论文的发表时间）