• Proceedings of the ESK Conference
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• 1993.04a
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• pp.155-162
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• 1993

This paper introduces and discusses the 1992 National Anthropometric Survey of Korea and compares its results with those of the fomer national anthropometric surveys of 1979 and 1986. Further, the results of 1992 survey are compared with those of Japan and China. It is hoped that the results of 1992 survey are useful.

• IE interfaces
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• v.8 no.1
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• pp.15-21
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• 1995

Since anthropometric data are essential to the design of industrial products, the national anthropometric survey was performed three times in Korea. An Anthropometric Data Manager system (ADaM) was implemented based on the 1992 national anthropometric survey to promote the utilization of the data. The system provides graphic user interface to facilitate usability. Anthropometric information can be obtained in various ways by the following statistical analyses; multivariate features analysis, correlation analysis, and regression. In addition, recommendations for design parameters of industrial products were provided in this system.

• Communications for Statistical Applications and Methods
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• v.12 no.2
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• pp.425-433
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• 2005

Most of national-wide surveys are summarized by some statistical tables and graphs. In spite of high costs to get statistical results from surveys, we often find some statistical problems in the statistical reports. In this paper, we point out some statistical problems for the Korean Anthropometric Survey report. Also, we suggest some alternatives which may avoid the illustrated problems.

• Communications for Statistical Applications and Methods
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• v.9 no.1
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• pp.213-220
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• 2002

Anthropometric survey is important as a basis for human engineering fields. According to our experiences, there are difficulties in obtaining the measurements of some body parts because respondents are reluctant to expose. In order to overcome these difficulties, we propose a method for estimating such hard-to-measure measurements by using easy-to-measure measurements those are closely related to them. Multiple Regression Model, Feedforward Neural Network(FNN) Model and Projection Pursuit Regression(PPR) Model will be used as analytical tools for this purpose. The method we propose will be illustrated with real data from the 1992 Korea national anthropometric survey.

• Proceedings of the Korean Association for Survey Research Conference
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• 2003.06a
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• pp.42-58
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• 2003

The Korean Anthropometric Survey (Size Korea) is a sample survey which estimates on percentiles of several dimensional measurements of the human body arid its component parts. The purpose of this study is to design a sample, which is designed on the base of 1997 survey database. Two different methods are considered to get the sample size for estimating the 5th and 95th percentile of body dimensions of Korean age range 0-80 years.

• Journal of the Ergonomics Society of Korea
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• v.8 no.1
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• pp.19-29
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• 1989

This study investigates nationwide anthropometric survey that were conducted during the past 40 years- in Korea. It is focused on the national anthropometric survey of 1986 as the present state. The result of '86 survey were compared with these of the past survey and the foreign surveys. The stature and body weight increased compared with those of the past, but the sitting height and bust circumference decreased or showed almost similar growth tendancy up to the end of growth stage. Koreans are generally larger than Japaneses up to age 14, but smaller above age 14. Compared with Americans, Koreans are not smaller up to age 12, but above that, differences start to appear and big differences exist between the two races in the growth cease stage.

• Communications for Statistical Applications and Methods
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• v.10 no.3
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• pp.707-718
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• 2003

The Korean Anthropometric Survey (Size Korea) is a sample survey which estimates on percentiles of several dimensional measurements of the human body and its component parts. The purpose of this study is to design a sample, which is designed on the base of 1997 survey database. Two different methods are considered to get the sample size for estimating the 5th and 95th percentile of body dimensions of Korean age range 0-80 years.

• Journal of the Ergonomics Society of Korea
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• v.22 no.4
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• pp.59-78
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• 2003

Most regression models of anthropometric variables use stature and/or weight as regressors; however, these 'flat' regression models result in large errors for anthropometric variables having low correlations with the regressors. To develop more accurate regression models for anthropometric variables, this study proposed a method to estimate anthropometric variables in a hierarchical manner based on the relationships among the variables and a process to develop and improve corresponding regression models. By applying the proposed approach, a hierarchical estimation structure was constructed for 59 anthropometric variables selected for the occupant package design of a passenger car and corresponding regression models were developed with the 1988 US Army anthropometric survey data. The hierarchical regression models were compared with the corresponding flat regression models in terms of accuracy. As results, the standard errors of the hierarchical regression models decreased by 28% (4.3mm) on average compared with those of the flat models.

• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.211-217
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• 2012

Objective: The aim of this study is to show a correct application procedure using the compact Korean anthropometric data application program called Korean Human Scale(KHS) for anthropometric design. Background: The nation-wide anthropometric survey project called 'Size Korea' developed KHS and distributed it to the public on the web site. But some insufficiency of the current web service of KHS misleads the users; they just put their own statue and pick up a meaningless data for a body dimension. Method: This study provides five steps to follow to read appropriate data from KHS for an anthropometric design. Results: As a case study, the depth dimension of the supervisory and control console used in the Korea nuclear power plant was determined following the procedure and compared with the console design guideline recommendation. Conclusion: The supplementary anthropometry table should be added on the web service of KHS for users to read a meaningful data for design. Application: If properly used, the KHS has a lot more potential application area than users can expect such as in control center design area.

• The Korean Journal of Community Living Science
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• v.18 no.3
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• pp.433-444
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• 2007

Today the number of the disabled people with a spinal cord injury is increasing by the acquired factor. The purpose of the study is to furnish basic data for the study of satisfactory clothing construction data by considering the physical variation by the time passed the since the injury. Also the study includes the actual measuring of the disabled men with spinal cord injuries which is compared with the data of the 5th national anthropometric survey of Korea and makes it possible to grasp the distinguished physical feature of the disabled men with the spinal cord injury. As a result, first, the measured data are smaller than those of the 5th national anthropometric survey of Korea in the items of height and length of the upper half of the body related to stature. Second, the measured data are bigger than those of the 5th national anthropometric survey of Korea in the items of breadth, depth and circumference of the upper half of the body related to the exercise. Third, there are differences in the items of depth of the lower half of the body, breadth and circumference in the analysis of the time passed since the injury.