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	Multi-resolution description of three-dimensional anthropometric data for design simplification
	Niu, Jianwei ; Li, Zhizhong ; Salvendy, Gavriel
	2010-10-12 ; 2010-10-12
关键词	3D anthropometric data Wavelet analysis Multi-resolution description Fitting design Engineering, Industrial Ergonomics
中文摘要	Three-dimensional (3D) anthropometry can provide rich information for ergonomic product design with better safety and health considerations. To reduce computational load and model complexity in product design when using 3D anthropometric data, wavelet analysis is adopted in this paper to establish multi-resolution mathematical description of 3D anthropometric data. A proper resolution can be selected for design reference according to the application purpose. To examine the approximation errors under difference resolutions, 510 upper head, whole head, and face samples of Chinese young men have been analyzed. Descriptives of approximation errors under different resolutions are presented. These data can be used as resolution selection guide. The application of the multi-resolution method in product design is illustrated by two examples. Relevance to industry: multi-resolution description of 3D anthropometric data would facilitate the analysis of and design with 3D anthropometric data to improve fitting comfort. The error data under different resolutions provide important reference for resolution selection. (C) 2008 Elsevier Ltd. All rights reserved.
语种	英语 ; 英语
出版者	ELSEVIER SCI LTD ; OXFORD ; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/80644]
专题	清华大学
推荐引用方式 GB/T 7714	Niu, Jianwei,Li, Zhizhong,Salvendy, Gavriel. Multi-resolution description of three-dimensional anthropometric data for design simplification[J],2010, 2010.
APA	Niu, Jianwei,Li, Zhizhong,&Salvendy, Gavriel.(2010).Multi-resolution description of three-dimensional anthropometric data for design simplification..
MLA	Niu, Jianwei,et al."Multi-resolution description of three-dimensional anthropometric data for design simplification".(2010).

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