• Journal of information and communication convergence engineering
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• 제19권2호
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• pp.73-78
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• 2021

As interest in beauty has increased, various studies have been conducted, and related companies have considered the anthropometric data handled between humans and interfaces as an important factor. However, owing to the nature of 3D human body scanners used to extract anthropometric data, it is difficult to accurately analyze a user's body shape until a service is provided because the user only scans and extracts data. To solve this problem, the body shape of several users was analyzed, and the collected anthropometric data were obtained using a 3D human body scanner. After processing the extracted data and the anthropometric data, a custom deep learning model was designed, the designed model was learned, and the user's body shape information was predicted to provide a service suitable for the body shape. Through this approach, it is expected that the user's body shape information can be predicted using a 3D human body scanner, based upon which a beauty service can be provide.

• 산업공학
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• 제8권1호
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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.

• 대한인간공학회지
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• 제31권1호
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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.

• 한국정보전자통신기술학회논문지
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• 제9권5호
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• pp.511-517
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• 2016

손 부위의 인체측정자료는 시용자중심 설계의 관점에서 수부와 관련된 다양한 제품의 설계에 중요한 요소이다. 전통적인 인체치수조사에서 측정자를 사용하는 직접측정법은 측정 시간의 누적, 원천 자료 미확보, 측정자간 신뢰도 등에 대한 단점을 가지고 있다. 이를 보완하기 위한 3D 스캐너는 고비용, 이동성 제한 등의 단점을 가지고 있다. 이러한 단점들을 보완할 수 있는 사진측량법에 의한 손 부위 인체측정자료의 효율적인 수집에 관한 연구를 수행하였다. 직/간접 측정 결과의 비교 과정에서 발생할 수 있는 오차를 최소화하기 위하여 시뮬레이션 환경에서 직/간접 측정을 실시하였다. 사진측량법을 이용한 손 부위 인체치수의 측정 가능성을 확인하였다.

• 동의생리병리학회지
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• 제20권1호
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• pp.268-272
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• 2006

In this study, when physician make a diagnosis of Sasang constitution of patients, anthropometric data are applied to seek the classification function into Sasang constitution. Data used in the analysis are the anthropometric data of 550 patients who had been treated in nine oriental medical hospital, and our data have no missing value in 12 anthropometric variables. In order to improve the accuracy of classification function into Sasang constitution, we consider one method of variable transformation of anthropometric data based on oriental medicine.

• 대한인간공학회지
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• 제15권2호
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• pp.149-155
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• 1996

The purpose of this study is to provide basic information for elderly women's clothing design and to develop dress forms that can reflect the characteristics of their bodies. Three hundered twenty subjects, between the ages of 60 .approx. 85, were chosen and the data were collected from anthropometric data. Principal component analysis which is one of the basic methods in factor analysis was applied to the interpretation of anthropometric data. As a result of analysis, the data are able to be decided into appropriate group.

• 패션비즈니스
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• 제25권5호
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• pp.88-98
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• 2021

In this study, the characteristics of digital anthropometric methods were determined with case studies. These methods were broadly classified into two categories: non-wearable and wearable. Then, these categories were further classified into four types: 3D Scanning, mobile app, smart clothing, and smart tool Among the non-wearable types, the "3D scanning" technique was based on the use of 3D hardware equipment. With this technique, the body shape was measured and the internal body information was obtained. Therefore, it is used in fields of healthcare and fitness. Among the wearable types, "Smart clothing" involves a special clothing that measures human body and a smartphone application. Both the components are linked to a fashion platform, which is based on the measured sizes that help shoppers. The "Smart tool" has the characteristic of measuring only with smart tools and smartphone applications; it does not involve the measurement of images. The common advantage of digital anthropometric methods are as follows: they reduce the time and cost of measurement by enabling self-measurement. Moreover, simple measurements are used to determine the size of anthropometry. Thereafter, it accumulates this data to track the continuous changes in size. From an industrial point of view, digital anthropometric technology should be used to increase sales. The on-demand market can be expanded as global consumers would throng the Korean fashion market. For the consumer, an avatar should be created to fit the user's size. This would provide a fun experience to the user.

• 대한인간공학회지
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• 제31권6호
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• pp.773-783
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• 2012

Objective: The aim of this study is to identify foot shapes of Korean male farmers by classifying their foot types using 3D scan data and analyzing the characteristics of each type. Background: The increasing demands for anthropometric information for the design of machinery and personal protective equipment to prevent occupational injuries has necessitated an understanding of the anthropometric differences to be found among occupations. Static stooped posture and squatting posture are so common in Korean farmers that anthropometric deformation in foot especially seems to occur easily. Method: 366 Korean male farmers volunteered for this study from 16 different farming villages nationwide from 2009 to 2011. Subjects were categorized into 4 age groups from 40s to 70s. Their right feet were measured by using 3D foot scanner, the anthropometric dimensions were composed of 40 items. Results: The 8 major factors affecting the foot shapes were extracted. From these factors the foot shape of Korean male farmers was classified into 3 Foot types. Foot type 1 showed severe deformation in toe 1, type 2 had a narrow shape and type 3 had a wider width for its length. Conclusion: There were some differences in foot shape and types between farmers and the public. The most characteristic foot type in Korean male farmers was type 3. Application: The results of identifying foot shapes of Korean male farmers might provide the useful information for designing ergonomic farm work shoes.

• Communications for Statistical Applications and Methods
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• 제9권1호
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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.

• 대한인간공학회지
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• 제36권5호
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• pp.373-383
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• 2017

Objective: The aim of this study is to introduce an operator console design review system suitable for designing and evaluating consoles based on human factor guidelines for a digitalized main control room in an advanced nuclear power plant which has a requirement for anthropometric data usage. Background: The system interface of the main control room in a nuclear power plant has been getting digitalized and consists of various consoles with many information displays. Console operators often face human-computer interactive problems due to inappropriate console design stemming from the perceptual constraints of anthropometric data usage. Method: Computational models with a process of visual perception and variables of anthropometric data are used for designing and evaluating operator consoles suitable for human system interface guidelines, which are used in an advanced nuclear power plant. Results: From the computational model and simulation application, console dimensions and a designing test module, which would be used for designing suitable consoles with safety concerns in a nuclear power plant, have been introduced. Conclusion: This case study may influence employing a suitable design concept with various anthropometric data in many areas with safety concerns and may show a feasible solution to designing and evaluating the safety console dimensions. Application: The results of this study may be used for designing a control room with the human factors requiring a safe working environment.