• Journal of the Ergonomics Society of Korea
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• v.23 no.3
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• pp.13-24
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• 2004

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.

• 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.

• 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.

• Journal of the Ergonomics Society of Korea
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• v.2 no.1
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• pp.3-11
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• 1983

Anthropometric data is most basic materials in the all studies related with it. Therefore, in anthropometric data, not only consideration of the state of variance, but more various analysis is needed. This study selected the 13 parts that properly show a whole characteristics of human body and, anthropometric data were obtained through the actual measurements for male and female workers who were engaged in production factory. And, to interpret anthropometric data, principal component analysis of multivariate analysis methods was applied.

• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.255-259
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• 2012

Objective: This study aims to investigate relationship between representative anthropometric dimensions and income levels for Korean from 1958 to 1989. The anthropometric dimensions include stature and body weight, and GNP per head was used as an index of income level. Background: Although anthropometric dimensions were affected by varying factors such as genetic, environmental and socioeconomic factors, most studies on anthropometry have focused on measurement methods, providing data and their characteristics. Method: Anthropometric data were retrieved from homepages of Korean Agency for Technology and Standards, and Ministry of Culture, Sports & Tourism, and GNPs per head by year from Korean Statistical Information Service. Results: During analysis period, statures and body weights for males and females increased by 6.4cm and 6.1cm, 10.7kg and 4.0kg, respectively. Infants' stature and body weight nearly linearly increased with GNPs per head. Anthropometric dimensions of stature and body weight were very positively correlated with GNPs per head. Conclusion: This study revealed that income levels significantly affect stature and body weight. Application: The results would be used as a valuable basic data when establishing government policies related to anthropometry.

• Journal of Nutrition and Health
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• v.30 no.2
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• pp.195-200
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• 1997

A graphical method to determine the anthropometric levels that's are lean, slightly lean, normal, slightly obese, obese by BMI, Broca and Rohrer indices was developed. On the graph of height vs. weight, regions corresponding to the anthropometric levels were separated by equations calculated with boundary conditions for BMI, Broca and Rohrer indices, respectivelyl. It was observed that the determinations of the anthropometric level was influenced by the weight to a larger extent than the hight, which magnitude was in the order of BMI>Broca>Rohrer. There appeared significant differences between the results of the anthropometric level for higher and weight by BMI, Broca and Rohrer indices, respectively. Conclusively, the graphical method was proved as a good means to analyze and compare the anthropometric levels from BMI, Broca and Rohrer indices.

• Journal of the Ergonomics Society of Korea
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• v.34 no.1
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• pp.29-43
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• 2015

Objective: The aim of this study is to develop management guidelines and a procedure for an anthropometric suitability assessment of the main control room (MCR) in nuclear power plants (NPPs). Background: The condition of the MCR should be suitable for the work crews in NPPs. The suitability of the MCR depends closely on the anthropometric dimensions and ergonomic factors of the users. In particular, the MCR workspace design in NPPs is important due to the close relationship with operating crews and their work failures. Many documents and criteria have recommended that anthropometry dimensions and their studies are one of the foremost processes of the MCR design in NPPs. If these factors are not properly considered, users can feel burdened about their work and the human errors that might occur. Method: The procedure for the anthropometric suitability assessment consists of 5 phases: 1) selection of the anthropometric suitability evaluation dimensions, 2) establishment of a measurement method according to the evaluation dimensions, 3) establishment of criteria for suitability evaluation dimensions, 4) establishment of rating scale and improvement methods according to the evaluation dimensions, and 5) assessment of the final grade for evaluation dimensions. The management guidelines for an anthropometric suitability assessment were completed using 10 factors: 1) director, 2) subject, 3) evaluation period, 4) measurement method and criteria, 5) selection of equipment, 6) measurement and evaluation, 7) suitability evaluation, 8) data sharing, 9) data storage, and 10) management according to the suitability grade. Results: We propose a set of 17 anthropometric dimensions for the size, cognition/perception action/behavior, and their relationships with human errors regarding the MCR design variables through a case study. The 17 selected dimensions are height, sitting height, eye height from floor, eye height above seat, arm length, functional reach, extended functional reach, radius reach, visual field, peripheral perception, hyperopia/myopia/astigmatism, color blindness, auditory acuity, finger dexterity, hand function, body angle, and manual muscle test. We proposed criteria on these 17 anthropometric dimensions for a suitability evaluation and suggested an improvement method according to the evaluation dimensions. Conclusion: The results of this study can improve the human performance of the crew in an MCR. These management guidelines and a procedure for an anthropometric suitability assessment will be able to prevent human errors due to inadequate anthropometric dimensions. Application: The proposed set of anthropometric dimensions can be integrated into a managerial index for the anthropometric suitability of the operating crews for more careful countermeasures to human errors in NPPs.

• Journal of the Korean Home Economics Association
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• v.27 no.2
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• pp.43-52
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• 1989

This study deals with the standardization of anthropometric terms related to body measurement points and lines that are to be the basis in body measurement. It investigates the state-of-the art of anthropometric terms used among middle and high schools, universities, dressmaking schools, and experts and set up the directions of standardization. According to the directions, 39 body measurement points and 9 body measurement lines were studied and a draft standards on anthropometric terms was suggested.

• 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.

• 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.