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South Korean anthropometric data and survey methodology: 'Size Korea' project.

Authors
  • Kim, Jung Yong1
  • You, Jae Woo2
  • Kim, Mi Sook3
  • 1 a Department of Industrial and Management Engineering , Hanyang University , Ansan , Republic of Korea. , (North Korea)
  • 2 b Department of Industrial Systems Engineering , Kangnam University , Yongin , Republic of Korea. , (North Korea)
  • 3 c Department of Clothing and Textiles , Kyung Hee University , Seoul , Republic of Korea. , (North Korea)
Type
Published Article
Journal
Ergonomics
Publication Date
Nov 01, 2017
Volume
60
Issue
11
Pages
1586–1596
Identifiers
DOI: 10.1080/00140139.2017.1329940
PMID: 28504058
Source
Medline
Keywords
License
Unknown

Abstract

Considering the many emerging markets in East Asia, access to contemporary anthropometric data for this region is important for designers and manufacturers seeking to produce the best fitting products and living environments for consumers. The purpose of this paper is to describe Korean anthropometric data collection and survey techniques for those who are interested in ethnic characteristics, conducting surveys, and formulating ergonomic product designs for South Korean and, more broadly, East Asian populations. The Size Korea survey was conducted in 2003-2004 and 2010. A total of 14,200 civilians aged 0-90 years participated in the survey, with 119 body and weight dimensions measured in 2004. Twenty new dimensions from Inbody measurement were added in 2010 and the data were continuously updated. We referred to ISO 7250, 8559 and 15535 to ensure validity and reliability. Fifty major body dimensions, including weight, are summarised in this paper, and 34 of these dimensions can be compared with 11 multinational data already reported in other publications. Practitioner Summary: This paper presents the up-to-date anthropometric database of East Asian physical characteristics and survey methodology. These data satisfy the ISO standards and comprise 50 physical dimensions including weight. Thirty-four dimensions of these can be directly compared with available multinational data.

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