• 대한인간공학회지
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• 제23권3호
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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.

• 대한인간공학회지
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• 제22권4호
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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.

• 한국운동역학회지
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• 제29권3호
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• pp.173-183
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• 2019

Objective: The aim of this study was to investigate the correlation coefficients between anthropometric parameters of the foot and kinetic variables during running. Method: This study was conducted on 21 healthy young adults (age: $24.8{\pm}2.1yes$, height: $177.2{\pm}5.8cm$, body mass: $73.3{\pm}7.3kg$, foot length: $256.5{\pm}12.3mm$) with normal foot type and heel strike running. To measure the anthropometric parameters, radiographs were taken on the frontal and sagittal planes, and determined the length and width of each segment and the navicular height. Barefoot running was performed at a preferred velocity ($3.0{\pm}0.2m/s$) and a fixed velocity (4.0 m/s) on treadmill (Bertec, USA) in order to measure the kinetic variables. The vertical impact peak force, the vertical active peak force, the braking peak force, the propulsion peak force, the vertical force at mid-stance (vertical ground reaction when the foot is fully landed in mid-stance or at the point where the weight was uniformly distributed on the foot) and the impact loading rate were calculated. Pearson's correlation coefficient was used to investigate the relationship between anthropometric variables and kinetical variables. The significance level was set to ${\alpha}=.05$. Results: At the preferred velocity running, the runner with longer forefoot had lower active force (r=-.448, p=.041) than the runner with short forefoot. At the fixed velocity, as the navicular height increases, the vertical force at full landing moment increases (r= .671, p= .001) and as the rearfoot length increases, the impact loading rate decreases (r=- .469, p= .032). Conclusion: There was a statistically significant difference in the length of fore-foot and rearfoot, and navicular height. Therefore it was conclude that anthropometric properties need to be considered in the foot study. It was expected that the relationship between anthropometric parameters and kinetical variables of foot during running can be used as scientific criteria and data in various fields including performance, injury and equipment development.

• 대한인간공학회지
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• 제26권4호
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• pp.103-111
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• 2007

The purpose of this study is to categorize and analyze the body shape of obese Korean men that are needed for industrial design. Using the anthropometric data that were surveyed through the 5^th Size Korea project, this study was conducted in four steps mostly through the multivariate statistical analysis. In the first step, Broca, BMI, WHR indices are used to define obesity and select obese men from Korean adults and teens. After 34 human anthropometric variables are supposed to be related to obesity were extracted through an expect survey. In the second step, a factor analysis was executed for those human anthropometric variables. Through this analysis, we obtained the human body factors that are related to the representation of obesity. Then the third step, we used a cluster analysis from the result of the factor analysis. And ANOVA analysis was also conducted to obtain the critical obese human anthropometric variables. In the final step, we found the characteristics of the body types of obese men according to clusters and ages. The body types of obese men classified in the study are expected to be applied to product design for clothing, furniture, automobile packaging, etc.

• 대한지역사회영양학회지
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• 제3권5호
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• pp.707-714
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• 1998

This cross-sectional study was designed to describe in nutritional and health status of the Korean elderly residing in America using demographic variables, dietary, anthropometric and functional status indicators, and to investigate possible relationships among these variables. Sixty elderly persons aged 61-91 years were assessed in their homes. Dietary intake was estimated by the 24-hour recall and brief dietary questionnaire. The following anthropometric measures were taken : weight, height, knee height, triceps skinfold, and midarm circumference. Functional status was measured by activities of daily living(ADLs), instrumental activities of daily living(IADLs) questionnaires, and a measure of psychosocial status as "happiness score"(a life satisfaction questionnaire). Intakes of energy, calcium, magnesium, folacin, vitamin B6, and zinc were low in this elderly sample. Females 75 years of age and older had extremely low energy intakes. A large percentage of subjects reported difficulty with both activities of daily living and instrumental activities of daily living. Subjects over 75 years of age reported more difficulty than younger subjects for most activities. Gender differnces were seen in anthropometric variables and energy intake. Happiness scores were similar in subjects, regardless of age or gender, however, happiness score was significantly correlated with the energy and protein intake(p<0.05). Several difficulties were encountered during the assessment of this elderly sample. The conditions in the home were unpredictable and often inadequate for the anthropometric measures in particular. Further research is needed to improve current methodologies so that they may be more adaptable to the conditions found in homes. in homes.

• 산업경영시스템학회지
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• 제38권2호
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• pp.1-7
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• 2015

As a measure of health, the percentage of body fat has been utilized for many ergonomist, physician, athletic trainers, and work physiologists. Underwater weighing procedure for measuring the percentage of body fat is popular and accurate. However, it is relatively expensive, difficult to perform and requires large space. Anthropometric techniques can be utilized to predict the percentage of body fat in the field setting because they are easy to implement and require little space. In this concern, the purpose of this study was to find a regression model to easily predict the percentage of body fat using the anthropometric circumference measurements as predictor variables. In this study, the data for 10 anthropometric circumference measurements for 252 men were analyzed. A full model with ten predictor variables was constructed based on subjective knowledge and literature. The linear regression modeling consists of variable selection and various assumptions regarding the anticipated model. All possible regression models and the assumptions are evaluated using various statistical methods. Based on the evaluation, a reduced model was selected with five predictor variables to predict the percentage of body fat. The model is : % Body Fat = 2.704-0.601 (Neck Circumference) + 0.974 (Abdominal Circumference) -0.332 (Hip Circumference) + 0.409 (Arm Circumference) - 1.618 (Wrist Circumference) + $\epsilon$. This model can be used to estimate the percentage of body fat using only a tape measure.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1995년도 춘계학술대회논문집
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• pp.62-71
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• 1995

This paper measured the range of arm joint motion for Korean 54 male in twenties. The subjects are measured directly using Goniometer and angle gauge. The static measurement variables are seven and the dynamic measurement variables are thirteen. The anthropometric datum are analyzed by basic statistical analysis, correlation analysis and regression analysis using commercial SAS program. The results of analysis are compared with American students anthropometric data by Laubach, 1978.

• 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.

• 한국의류산업학회지
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• 제2권4호
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• pp.300-307
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• 2000

The purpose of this study was to classify and analyze the body type of obese boys who are school year for 9 to 11 years. A total of 49 body measurements were collected for this study including both direct and indirect measurements (33 variables from the direct anthropometric data, 16 variables from the indirect anthropometric data). Data from anthropometric measurement were analyzed using descriptive, factor and cluster analysis. The obese boys investigated in this project were in the category of average height 146.31 cm, weight 52.17 kg. The values for the study were compared to values from the National Anthropometric Survey of Korea. As the result of factor analysis for the classification of body type, 6 factors were extracted from all items. The first was transverse size of upper body, also, the second was its longitudinal size. The third was thicknesses of front and back at side views. The fourth was shoulder shape. The fifth was upper body angle factor. The sixth was upper body length. The body form was classified with cluster analysis, using factor score. The shape of the body was classified in 3 types.

• 한국가정과학회지
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• 제3권2호
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• pp.112-119
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• 2000

The purpose of this study is to investigate the bodice patterns by analyzing sensory evaluations. Anthropomatric data was collected between April and October of 2000. Total 283 body measurements were collected for this study including both direct and indirect measurements(29 variables from the direct anthropometric data. 5 variables from the indirect anthropometric data). Data were analyzing using percentiles. standard deviation and Anova. The appearance and fit of three kinds of bodice patterns (N. L. H type) were evaluated by expert panel and the subjects. The results of the anthropometric measurements and sensory evaluations are as follows : A significant differences (p$\leq$.001) in the height, width and girth Items was found. The results of the bodice pattern evaluations by expert panel indicates that a significant difference (p${\le}$.05) in the responses to the placement of the waist dart, the fit of the bust area and the placement o( the back shoulder dart for 20's and 30's. The result of the evaluations by subjects indicates that a significant difference (p${\le}$.05) in the responses to the placement of the waist dart for 40's. A significant difference (p${\le}$.05) in the responses to the suitability of the shoulder area among the age groups.