The Fourth Industrial Revolution has increased studies on observing the cross section by overlapping the clothing worn using 3D human body data. However, there is a lack of studies on the effect of pressure clothing that contracts the shape of the human body. Therefore, this study objectively evaluated the shaping functionality of body shapers using 3D scan and 3D data. Two types of commercial body shapers were selected for this study. The nude body and body wearing body shapers were then scanned. A 3D program evaluated the shaping functionality by overlapping the nude state with the body wearing body shaper A and B respectively. As a result, it was found that the effect of body shapers could be adequately observed according to body parts. The smaller body shaper was shown to have superior shaping capability with the abdomen more affected. Analysis of the horizontal cross section indicated that the waist circumference decreased by 6 cm when wearing body shaper A and decreased by 12cm when wearing body shaper B. The volume of the waist part decreased by 8.6% when wearing body shaper A and by 20.4% when wearing body shaper B. Therefore, it is more effective to compare the objective shaping functionality by body parts using the overlapped 3D scanned data rather than using exterior evaluation or length measurement when wearing clothing that contracts the body shape.
When performing remote tasks using robots in nuclear power plants, a 3D shape measurement system is advantageous in improving the efficiency of remote operations by easily identifying the current state of the target object for example, size, shape, and distance information. Nuclear power plants have high-radiation and underwater environments therefore the electronic parts that comprise 3D shape measurement systems are prone to degradation and thus cannot be used for a long period of time. Also, given the refraction caused by a medium change in the underwater environment, optical design constraints and calibration methods for them are required. The present study proposed a method for developing an underwater 3D shape measurement system with improved radiation tolerance, which is composed of commercial electric parts and a stereo camera while being capable of easily and readily correcting underwater refraction. In an effort to improve its radiation tolerance, the number of parts that are exposed to a radiation environment was minimized to include only necessary components, such as a line beam laser, a motor to rotate the line beam laser, and a stereo camera. Given that a signal processing circuit and control circuit of the camera is susceptible to radiation, an image sensor and lens of the camera were separated from its main body to improve radiation tolerance. The prototype developed in the present study was made of commercial electric parts, and thus it was possible to improve the overall radiation tolerance at a relatively low cost. Also, it was easy to manufacture because there are few constraints for optical design.
This aims to improve match of clothes for export by offering material information about Chinese women's shape. Therefore, this categorizes the shape by where they live or how they are old and understands the tendency of spread of the shape. To categorize the subject by not size factor but form factor, data were compared and analyzed mainly with index based on measurement of the body. This selected specimen as 1,381 of Chinese women from 19 to 50 selected in random sampling in Shanghai and Beijing from 23th, June to 7th August in 2004. 1. Body shapes categorized by regional and age base are hardly different in its contents. The younger they are, the stronger the tendency of front side factors is, the older they are, the stronger the tendency of shoulder and back side factors is, so this shows that there are slight differences in degree of importance. 2. This is categorized by equal formations in regional and age base in all groups. Normal shapes record highest in the twenties and thirties, fat and skinny shapes record highest and lowest in the forties, respectively. Normal, fat and skinny show its range as respectively decreasing order in Shanghai and Beijing.
This study aims at presenting the basic data related to the somatotype of elderly men at the point of Korea's entering into an aging society. Efforts were made to classify the lower-half somatotype of elderly men, with the application of the measurements of 261 elderly men of 60 years of age and over up to 70, which were available from the physique measurement survey project for Koreans. The number of analysis items was 31. The statistical treatment was made through SPSS win 12.0 program, and the analytical methods used were the basic statistics, factor analysis, and cluster analysis. The findings are as follows: Elderly men experienced the decreases in height and weight, in comparison with middle-aged ones, while they showed a flat shape at trunk, with more protruded waist and abdomen and with flat buttock. The analysis of the constituting factors for the lower-half body of elderly men resulted in the 6 items. The elements constituting the lower-half body of elderly men included the shape from waist to hip, the spread of hip and height of knee, the shape of leg, thigh size, the length of leg, and the volume of abdominal. The total accountability was 81.59 %. The cluster analysis for lower-half somatotype of elderly men resulted in the classification of three types. The above findings are intended to assist the designing of ready-made slacks with a high level of fitness for elderly men.
This study investigates the progress of obesity in men from childhood to adulthood, by analyzing the measurement references from the 5th Size Korea. It also seeks to analyze the characteristics of obese figures through the comparison of body proportions to normal-weight people, to provide a basic reference for the development of new size categories and improved pattern grading. The age range is divided into three groups: children (2-7), teenagers (13-18), and adults (19-39). The results of research into the characteristics of body proportions of obese figures and the classification of different figure groups of obese people are as follows. The ratio between width and circumference for each part of the body was investigated according to body weight that was grouped into three different categories of low, normal, and obese body weights. The result demonstrated that in all the ranges of age, the obese groups had the lowest ratio between width and circumference in having a thick body shape. According to the results that compared the ratio of the circumference of each body part divided by the waist circumference, the obese group showed a low ratio that indicates that they have a bigger waist circumference than other parts of the body. Two factors are identified as contributing to obesity in analyzing the ratio of the circumference of body parts divided by waist circumference. Using the factor loadings of the upper and lower body obesity, a cluster analysis was carried out and three different categories of obesity were defined; lower body obesity, abdominal obesity, and upper body obesity. The obese groups of children and teenagers were mostly in body shape with lower obesity and abdominal obesity, whereas the adults group showed the obesity present in the upper body obesity that have fewer cases in lower body obesity.
The analysis of cow body parameters is important to provide some useful information fur cow management and cow evaluation. Present methods give many stresses to cows because they are invasive and constrain cow postures during measurement of body parameters. This study was conducted to develop the stereo vision system fur non-invasive analysis of cow body features. Body feature parameters of 16 heads at two farms(A, B) were measured using scales and nineteen stereo images of them with walking postures were captured under outdoor illumination. In this study, the camera calibration and inverse perspective transformation technique was established fer the stereo vision system. Two calibration results were presented for farm A and fm B, respectively because setup distances from camera to cow were 510 cm at farm A and 630cm at farm B. Calibration error values fer the stereo vision system were within 2 cm for farm A and less than 4.9 cm for farm B. Eleven feature points of cow body were extracted on stereo images interactively and five assistant points were determined by computer program. 3D world coordinates for these 15 points were calculated by computer program and also used for calculation of cow body parameters such as withers height. pelvic arch height. body length. slope body length. chest depth and chest width. Measured errors for body parameters were less than 10% for most cows. For a few cow. measured errors for slope body length and chest width were more than 10% due to searching errors fer their feature points at inside-body positions. Equation for chest girth estimated by chest depth and chest width was presented. Maximum of estimated error fur chest girth was within 10% of real values and mean value of estimated error was 8.2cm. The analysis of cow body parameters using stereo vision system were successful although body shape on the binocular stereo image was distorted due to cow movements.
The breast types of middle-aged women of 80A (formerly 80B) size were classified through a 3D scanned nude body. Thirty seven measurements including the radius of curvature, surface area, volume, surface length, and breast displacements were used as input variables. We extracted five main factors through the factor analysis of the measurements and classified 36 subjects into 3 clusters through the cluster analysis. As a result of the factor analysis, the size of the breast, breast sag, the curvature of the inner and the outer breast curve, the width of the breast, and the nipple direction were found as the main factors. For the results of the classification of breast types, Cluster 1 was characterized by narrow breast width and unsymmetrical under the breast curve, whereas Cluster 2 was a wide and sagged shape. Cluster 3 was classified into big breast volume and symmetrical under-breast curve. The results are useful to the product development of high quality brassieres which reflect the 3D characteristics of breast types of middle-aged women.
Recently, the MZ generation has been leading overall fashion trends, and fashion companies focus on design, marketing, and new products targeting the MZ generation. However, it is expected that a fit problem may occur if the M and Z generations are combined when producing clothing. Therefore, this study aims to analyze the differences between the two groups by comparing the body size according to the classification of the M and Z generations. In addition, this study analyzes whether the body shape of the MZ generation is different from the past generations and analyzes major changes in body size for clothing manufacturing through graphical visualization. As for the research method, a t-test was conducted to verify the significant difference between the measurements for each age group. Generation M was defined as those who are 27-39 years old, and Generation Z was defined as those who are 20-26 years old. In order to examine the changes in body measurements according to the measurement year, the 7th Size Korea and 8th Size Korea data were analyzed. In order to examine the visual changes according to the measurement year and age group, major measurements of clothing construction were analyzed. As a result, it was found that Generation M had a significantly higher height item than Generation Z. Also, in terms of circumference, width, and thickness, Generation M was larger than Generation Z. But the size of the bra cup was larger in Generation Z than Generation M. As a result of analyzing the body size changes, in the height item, the 8th Size Korea measurements were found to be significantly higher in shoulder height and navel level waist height. In the length and circumference items, the 8th Size Korea measurements were larger than the 7th. In the width, thickness, and other items, the 8th measurements were larger than the 7th.
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.
This study developed a three-dimensional helmet mold design software that can design helmets for treating the infant plagiocephaly (flat head syndrome) using three-dimensional head scan data. For this, the three-dimensional head data of sixth SizeKorea body measurement project as well as the data produced by a head modeling software were used to prepare the head shape data of plagiocephaly patients. A total of 14 landmarks and 10 dimensions of heads required for helmet mold shape design and plagiocephaly diagnosis were automatically measured using an anthropometric analysis software. Using the software developed in this study, plagiocephaly can be diagnosed not only visually by three-dimensional head data visualization but also quantitatively by calculating the medically defined indices such as cranial index, which measures the proportions of the head, and the cranial vault asymmetry index, which measures the asymmetry of the head. The basic shape of the helmet mold was automatically generated based on the head scan data. Additionally, it is possible to fine tune the shape of the mold to reflect individual characteristics by using a free form deformation technique. Finally, the designed helmet mold was converted into the data that can be printed on a three-dimensional printer for generating the actual prototype.
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