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http://dx.doi.org/10.5143/JESK.2004.23.3.013

A Classification Method of Anthropometric Variables for Improved Usability of Anthropometric Data  

Yu, Hui-Cheon (포항공과대학교 기계산업공학부)
Sin, Seung-U (삼성전자 무선통신사업부)
Ryu, Tae-Beom (포항공과대학교 기계산업공학부)
Publication Information
Journal of the Ergonomics Society of Korea / v.23, no.3, 2004 , pp. 13-24 More about this Journal
Abstract
Anthropometric data is a fundamental resource in developing ergonomic products and workplaces. However, designers often experience difficulty in searching anthropometric data relevant to the design due to the technicality of anthropometric terminologies, ambiguity in the description of measurement method for some anthropometric variables, and inefficiency of existing search methods for anthropometric data. The present study suggests a method to develop a classification system of anthropometric variables for systematic, efficient search of anthropometric data. The proposed method first classifies anthropometric variables according to body segment and type of variable, and then arranges anthropometric variables of the same body segment and variable type by comparing the heights of their reference points. The proposed classification method was applied to establish a classification system of 66 anthropometric variables that were selected for an automotive interior design. Then the established anthropometric classification system was utilized to design a search interface of a web-based anthropometric data retrieval system.
Keywords
anthropometric data; anthropometric variable; classification method; anthropometric data retrieval;
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