• Journal of the Korea Society of Computer and Information
• /
• v.23 no.4
• /
• pp.121-129
• /
• 2018

The purpose of this study is to provide a basic data of clothing development which can improve the satisfaction of the body shape by examining the subjective evaluation and type characteristics of the old-old women themselves. Q methodology was used for the study of subjectivity. The types of the body shape of the old-old women were analyzed as five types: bent body with protruding abdomen, backward bent body with slender legs, inverted triangle, swollen cylinder, triangle. The bent body with protruding abdomen had a bent back and waist. They were recognized that the bust and shoulders were sagging and abdomen was protruding. The backward bent body with slender legs was the smallest of the five types with a BMI index and shoulders and bust were sagging. And knee and waist were bent and legs were thin. The inverted triangular shape showed the highest BMI index among the 5 types, indicating that it is obese. They thought that the upper body was developed and the lower body and legs were slender. The swollen cylinder shape was analyzed to be the smallest and the most fat body. The triangle shape had developed lower body and bent back and waist. It is considered that a design consideration is needed to cover the disadvantages of the body shape in consideration of not only wearing feeling but also aesthetic part when making clothes. By making ergonomic garments considering the characteristics of body shape, it can be expected to change the body shape due to the wearing of clothing that is not suitable for body shape and the effect on physical health in a positive direction.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.4
• /
• pp.137-144
• /
• 2019

The purpose of this study was to provide basic data for the development of a prototype of a garment that allows middle aged men to look idealized by examining the type of perception of middle aged men based on their subjective evaluation and their characteristics. This study used the Q methodology, which is a subjective research method that finds correlations among middle aged men across subjective attributes. The types of perception of body shape of middle aged men were analyzed as three types: leaning forward shape with bird legs, developed upper body shape with thick legs, protruding abdomen obesity body shape. The leaning forward shape with bird legs was recognized as the lowest in the BMI index, and the shoulder and chest were sagging, legs were thinner than the body and leaned forward. And that the hip were protruding and had a flat rectangular shape. Developed upper body shape with thick legs was the second overweight type of BMI index. It was recognized that the ankle and calf thighs were thick and the upper abdomen protruded upper body development body. Protruding abdomen obesity body shape was the most obese type with BMI index. In this type, the height was the smallest, and the upper abdomen came out and the abdomen protruded, and the abdomen was more exuded than the chest, and the neck was thick and the hips were recognized as the big body. The middle aged men's recognitive body shape was classified as a similar to actual body shape. However, in the recognition type, the frontal and side body types were mixed and classified. It is necessary to study the ergonomic pattern considering the features of each body type. This suggests that psychological effects can be obtained that allow the body shape that changes with age to be accepted more positively.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2005.03a
• /
• pp.392-399
• /
• 2005

Shear modulus (or rigidity) of dam material is an important parameter which can be directly associated with the deformation of dam. Seepage or leakage of water can cause the defects or cracks of dam body. The existence of cracks and rigidity of dam body are decisive information for the estimation of dam safety. Rigidity of material is mainly determined from S-wave velocity and the defects of dam body can be detected by seismic reflection survey. Therefore, seismic reflection survey will be a desirable method which can give a solution about dam safety problem. Among various physical properties of dam body, S-wave velocity is the most important information but it is not easy to get the information. In this study, diverse measuring techniques of S-wave reflection survey were attempted to get the information about S-wave velocity of dam body. Ultimately, S-wave velocity could be estimated by the analysis of SH reflection events which can be easily observed in shot gather data obtained from SH measuring technique. Meanwhile, P-wave reflection survey was also performed at the same profile. P-beam radiation technique which can reduce the surface waves and reinforce the P-wave reflection events was applied for giving a help to analyse P-wave velocity. In the end, P-and S-wave velocity, Vs/Vp, Poisson's ratio distribution of the vertical section under the profile could be acquired.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.05a
• /
• pp.553-556
• /
• 2015

In almost all of the Hand-made suit plants, while garment cutters are hard to measure the body size by their own, they are not quick. And each of the individual's standard is vague, so it is hard to get a consistency. So it will give the customers some displeasure with the body contact. To improve this kind of problems, in this paper proposes a efficient way that is hard to measure by the general image processing technology to measure when you manufacture a Hand-made suit and measure a body size by wearing a elastic band that has a printed mark that has some information of length and taking a picture of the body by a digital camera.

• Journal of Broadcast Engineering
• /
• v.17 no.4
• /
• pp.611-624
• /
• 2012

'Gesture' is the most intuitive means of communication except the voice. Therefore, there are many researches for method that controls computer using gesture input to replace the keyboard or mouse. In these researches, the method of user detection and main body parts estimation is one of the very important process. in this paper, we propose user objects detection and main body parts estimation method on inaccurate depth information for pose estimation. we present user detection method using 2D and 3D depth information, so this method robust to changes in lighting and noise and 2D signal processing 1D signals, so mainly suitable for real-time and using the previous object information, so more accurate and robust. Also, we present main body parts estimation method using 2D contour information, 3D depth information, and tracking. The result of an experiment, proposed user detection method is more robust than only using 2D information method and exactly detect object on inaccurate depth information. Also, proposed main body parts estimation method overcome the disadvantage that can't detect main body parts in occlusion area only using 2D contour information and sensitive to changes in illumination or environment using color information.

• Journal of the Korean Home Economics Association
• /
• v.40 no.7
• /
• pp.157-172
• /
• 2002

The purpose of this study is to characterize body types of males in their twenties, and to provide information on body types of males by classifying them into groups. In addition, this study attempts to provide ways that can help improve the fit and coverage rate of ready-to-wear clothes by developing an apparel sizing system according to body types. 297 male subjects in their twenties participated in this study. 54 anthropometric and 35 photographic measurements were taken from each subject. After combining the body types of the front and the side into a whole body, we selected typical body types out of the combinations. It is shown that 84.64% of males in their twenties belong to the HI type, H/equation omitted/ type, X/equation omitted/ type, Xl type, Yl type, and HS type. To develop a new size system of clothes, the distribution of sizes was determined by using means and standard deviations for basic parts of each body type. Then, the most optimal sizes were selected separately for each body type to maximize the coverage rate.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.1
• /
• pp.201-208
• /
• 2021

This study aims to provide the relevant basis upon which prediction of dyslipidemia should be made based on body information. Using the National Health Insurance big data (3,312,971 people) canonical correlation analysis was performed between body information and lipid-profile. Body information included age, height, weight and waist circumference, while the lipid-profile included total cholesterol, triglycerides, HDL cholesterol and LDL cholesterol. As a result, when the waist circumference and the weight are large, triglycerides increase and HDL cholesterol level decreases. In terms of age, weight, waist circumference, and HDL cholesterol, the canonical variates (the degree of influence) were significantly different according to sex. In particular, the canonical variate was dramatically changed around the forties and fifties in women in terms of weight, waist circumference, and HDL cholesterol. The canonical correlation results of the health care big data presented in this study will help construct a predictive model that can evaluate an individual's health status based on body information that can be easily measured in a non-invasive manner.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.11
• /
• pp.4395-4412
• /
• 2020

The multisource image fusion has become an active topic in the last few years owing to its higher segmentation rate. To enhance the accuracy of multimodal pig-body feature segmentation, a multisource image fusion method was employed. Nevertheless, the conventional multisource image fusion methods can not extract superior contrast and abundant details of fused image. To superior segment shape feature and detect temperature feature, a new multisource image fusion method was presented and entitled as NSST-GF-IPCNN. Firstly, the multisource images were resolved into a range of multiscale and multidirectional subbands by Nonsubsampled Shearlet Transform (NSST). Then, to superior describe fine-scale texture and edge information, even-symmetrical Gabor filter and Improved Pulse Coupled Neural Network (IPCNN) were used to fuse low and high-frequency subbands, respectively. Next, the fused coefficients were reconstructed into a fusion image using inverse NSST. Finally, the shape feature was extracted using automatic threshold algorithm and optimized using morphological operation. Nevertheless, the highest temperature of pig-body was gained in view of segmentation results. Experiments revealed that the presented fusion algorithm was able to realize 2.102-4.066% higher average accuracy rate than the traditional algorithms and also enhanced efficiency.

• Korean Journal of Remote Sensing
• /
• v.31 no.4
• /
• pp.337-346
• /
• 2015

Water body extraction based on backscatter information is an essential process to analyze floodaffected areas from Synthetic Aperture Radar (SAR) image. Water body in SAR image tends to have low backscatter values due to homogeneous surface of water, while non-water body has higher backscatter values than water body. Non-water body, however, may also have low backscatter values in high resolution SAR image such as Kompsat-5 image, depending on surface characteristic of the ground. The objective of this paper is to present a method to increase backscatter contrast between water body and non-water body and also to remove efficiently misclassified pixels beyond true water body area. We create an entropy image using a Gray Level Co-occurrence Matrix (GLCM) and classify the entropy image into water body and non-water body pixels by thresholding of the entropy image. In order to reduce the effect of threshold value, we also propose Water Body Texture Index (WBTI), which measures simultaneously the occurrence of repeated water body pixel pair and the uniformity of water body in the binary entropy image. The proposed method produced high overall accuracy of 99.00% and Kappa coefficient of 90.38% in water body extraction using Kompsat-5 image. The accuracy analysis indicates that the proposed WBTI method is less affected by the choice of threshold value and successfully maintains high overall accuracy and Kappa coefficient in wide threshold range.

• Proceedings of the KIEE Conference
• /
• 2004.11b
• /
• pp.46-50
• /
• 2004

This paper analysed the induced current density inside human body of hot-line worker for 765kV double circuit transmission line according to locations of human body Human was modelled by several organs, which included brain, heart, lungs, liver and intestines. We applied the 3 dimensional boundary element method to calculate induced electric fields.