The purpose of this study is to compare the self consciousness of one's body cathexis with other people's. The sample subjects were 97 females between 18 and 24 years old. They were measured on November 1999 with the anthropometric measuring, and their front and side photographs were taken. First, we investigated the size recognition of 5 body parts and ready-made clothing, the consciousness of the size of 5 body parts and body proportion for subjects. Second, we organized panel group consisted of 30 females in twenties majoring the Clothing & Textiles. The consciousness of panel group to the subject's body proportion was investigated by using the front and side photographs of subjects, and was compared with self consciousness of subjects. Data were analyzed by frequency analysis and correlation analysis. Most of subjects recognized their status, bustgirth and waistgirth larger than their real size, but they recognized their hipgirth smaller than their real size and their weight similar to their real weight. And subjects were conscious of their status and bustgirth small, their weight, waistgith and hipgirth proper or a little big, and their body proportion normal or a little unbalanced. The self consciousness of one's body cathexis was related to heights of each part especially, and subjects had a tendency to appreciate their body proportion positively if they recognized themselves tall and thin. Upon comparison of the consciousness of subject's body between subjects themselves and panel group, the appreciation of panel group was better than those of subjects themselves. And we also certified the difference of consciousness of one's body cathexis between oneself and other people. The consciousness of other people was related to the size of each body part, but the self consciousness was predicted that it was more related to the psychological factor including satisfaction or preference.
Kim Ran-do;Lee Sang-youl;Kim Seon-young;Nam Yun-ja
Journal of the Korean Society of Clothing and Textiles
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v.29
no.8
s.145
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pp.1102-1113
/
2005
The propose of this study is to develop the optimal sizing system of ready-to-wear f3r elementary school girls using a newly invented statistical technique. The body measurements was classified by the method that equalizes the distribution of the subjects using the probability density function, to theoretically systemize a method to determine a size range of ready-to-wear for elementary school girls between 6 to 12 years old. The statistical method were 1) The total of 11 height groups, which size interval from one another is 6 cm that is an average height gap between each age. 2) In order to determine an approximate figure (m ${\times}$ n) to establish the appropriate sizes far each height group that fit to the combinations of bust and hip girth, which based on their means and standard deviations on the probability density curve to produce the standard normal distribution. 3) m and n were aligned by 4cm -the grading increments used for patterns making- and determined the size ranges by confirming the approximate figures of m and n. 4) The representative values were determined by an area ratio calculated by dividing the area determined from the range of bust and hip girth with the representative value. Considering the characteristics of subjects' distribution, the area ratios was used. 5) Weight was calculated by seeking a growth exponent for each age and multiplying it by the number of girls that fit to each size range. As sections that show the highest weight are more likely sought by the consumers, these sections were determined as the optimal size standards. 6) This optimal sizing system consists of sizes determined by the optimal size standards and its sizes are marked with height, bust and hip girth.
Purpose The purpose of this study is to develop a virtual try-on deep learning model that can efficiently learn front and back clothes images. It is expected that the application of virtual try-on clothing service in the fashion and textile industry field will be vitalization. Design/methodology/approach The data used in this study used 232,355 clothes and product images. The image data input to the model is divided into 5 categories: original clothing image and wearer image, clothing segmentation, wearer's body Densepose heatmap, wearer's clothing-agnosting. We advanced the HR-VITON model in the way of Mixed-Precison, Gradient Accumulation, and sharing model weights. Findings As a result of this study, we demonstrated that the weight-shared MP-GA HR-VITON model can efficiently learn front and back fashion images. As a result, this proposed model quantitatively improves the quality of the generated image compared to the existing technique, and natural fitting is possible in both front and back images. SSIM was 0.8385 and 0.9204 in CP-VTON and the proposed model, LPIPS 0.2133 and 0.0642, FID 74.5421 and 11.8463, and KID 0.064 and 0.006. Using the deep learning model of this study, it is possible to naturally fit one color clothes, but when there are complex pictures and logos as shown in <Figure 6>, an unnatural pattern occurred in the generated image. If it is advanced based on the transformer, this problem may also be improved.
In this study, we investigate characteristics of fall, requirements toward the impact protective clothing, design preferences, etc. to develop the fall impact protective clothing for the silver-aged women. Among the 242 women respondents aging 50s to 70s, 43% experienced the fall in recent 2 years. It is found that the fall mostly occurred in winter season and happened during the regular activities such as walking outside, going up and down stairs. Most of the respondents have no experience buying the impact protective clothing, but they expressed the fall impact protective clothing would help reducing the injury from falls. Moreover, the intention to purchase the impact protective clothing is increasing with an increasing target age. However, the respondents concerned with increasing volume and weight of clothing by the protecting pad inserted into the clothing. The respondents also claimed that the impact protecting clothing should not interfere with their regular physical activities. The survey showed that respondents preferred to embed the impact protective function in pants as a form of the protective clothing. For the design preferences on the pants, casual style and straight silhouette was preferred and stretch fabric was selected. The respondents preferred underwear made of cotton spandex blend with relaxed fit.
In this paper, we present a non-static color histogram method to retrieve clothing images that are similar to a query clothing. Given clothing area, our method automatically extracts major colors by using the octree-based quantization approach[16]. Then, a color palette that is composed of the major colors is generated. The feature of each clothing, which can be either a query or a database clothing image, is represented as a color histogram based on its color palette. We define the match color bins between two possibly different color palettes, and unify the color palettes by merging or deleting some color bins if necessary. The similarity between two histograms is measured by using the weighted Euclidean distance between the match color bins, where the weight is derived from the frequency of each bin. We compare our method with previous histogram matching methods through experiments. Compared to HSV cumulative histogram-based approach, our method improves the retrieval precision by 13.7 % with less number of color bins.
The purpose of this study was to identify Chinese university women's appearance management characteristics and clothing purchasing behavior. A self-administered questionnaire was used. Research period was 15th - 30th March. Frequencies, percent, factor analysis, cluster analysis, ANOVA, chi-square test were done. The results of study were: 1. The factors of appearance management characteristics were food management, skin care, weight control & tooth correction, nail & hair care, and use of identity kits. The factors of clothing selection criteria were outlook & appropriateness, management & service, fashion & brand, and individuality & price, and factors of information resources were marketer oriented & neutral and consumer oriented & store. 2. Chinese university women were segmented into positive appearance management group, food & skin management group, nail care & identity kits using group, and appearance management stagnated group. Positive appearance management group selected their clothing to pursuit individuality & relaxation, fashion, and conformity, considered fashion or brands more, used various information sources. Food & skin management group purchased their clothing for conformity. Nail care & identity kits using group considered management & service of clothing more, utilized consumer oriented & store information more. 3. Positive appearance management group were younger, and spent more pocket money and for their appearances. Food & skin management group were older, but nail care & identity kits using group were older. Appearance stagnated group spent less pocket money and appearance management.
Journal of the Korean Society of Clothing and Textiles
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v.35
no.7
/
pp.713-720
/
2011
This study investigated the effect of cold acclimatization training on body composition including weight, fat mass, and muscle mass with 10 subjects (5 males and 5 females). During the 3-week acclimatization training program, they visited an artificial climate chamber ($15^{\circ}C$) 15 times and were exposed to cold environment with light clothing for 2 hours. Body composition was measured before and after cold training using bioelectric impedance analysis that was later compared by a paired t-test. In the process of thermoregulation, muscle contraction was accompanied by increased substrate metabolism for rising heat production. After cold training, the muscle mass increased and fat mass decreased significantly (p<.1, p<.05), subsequently the body composition changed. It was found that cold acclimatization training could be used as a treatment for obesity. It was suggested that further investigation on the long term effects of mild cold exposure using clothing and its potential applicability as an obesity treatment.
The purpose of this study was to analyze body mass index of women in their twenties and investigate the relationships of body attitude and clothing attitude. To achieve the purposes of this study, a questionnaire was conducted with 398 people from May 2 to May 30, 2013. The final data was analyzed with spss 18.0 program. The results were as follows: First, I found that body attitude had this order: Feeling fat, Lower body fatness, Salience of weight and shape, Attractiveness, Strength and fitness, and Body disparagement Secondly, there were significant differences of body attitude based on demographic characteristics and body mass index. Thirdly, I found that clothing attitude was classified into four factors of Personality pursuit, Body complement, Appearance ostentation, and Social approval. Fourthly, there were significant differences of clothing attitude based on demographic characteristics and body mass index. Fifthly, there were significant relations of body mass index, body attitude, and clothing attitude of women in their twenties. Thus, I found that body mass index and body attitude were related to clothing attitude.
The purpose of this study was to examine the differences of clothing microclimates and the subjective sensations according to age, gender and clothing weight for $19^{\circ}C$ air temperature. This study was done to gain fundamental data related to saving heating energy and to improve health through wearing underwear (long johns) in lower indoor temperatures. The subjects were divided into four groups (6 young males, 5 young females, 6 old males, 6 old females), and our experiment consisted of three conditions; the first condition was wearing long underwear in $19^{\circ}C$ air (19CUW condition); the second condition was without wearing long underwear in $19^{\circ}C$ air (19C condition); and the third condition was without wearing underwear in $24^{\circ}C$ air (24C condition). The experiment showed that the clothing microclimate temperature and humidity was the lowest in the 19C condition and the highest in the 24C condition irrespective of age and gender. The clothing microclimate in the 19CUW condition was not significantly distinguishable from the other conditions. Clothing microclimate temperature and humidity when the subjects responded thermal comfort was $28\~34^{\circ}C$ and $15\~40\%$RH without any significant difference according to age and gender. For the thermal sensation, the 24C condition was regarded as the warmest environment by the four groups, and the next preference was the 19CUW condition (p<0.001). Young females and old males showed a tendency to feel colder than young males and old females. For the thermal sensation of hands and feet, the young groups felt the warmest in the 24C condition and the coolest in the 19 C condition (p<0.001). However, old males felt neutral for the foot thermal sensation without any significant difference between the three conditions. Old females felt neutral for both the hands and feet thermal sensations without any significant difference between the three conditions. Thermal preference was the highest in the 24C condition for the 4 groups. In the 19CUW condition, for the thermal preference, most young males and females responded 'No change'; on the other hand, mea of the old responded 'Warmer'(p<0.001). It was the 24C condition that the 4 subject groups felt the most thermally comfortable. In the 19CUW condition, over $80\%$ of responses of each group expressed satisfaction and in the 19C condition, over $80\%$ of responses of each group, except young females, expressed satisfaction. In conclusion, in view of the clothing microclimate and subjective sensations, the 24C condition was the condition that gave subjects the least cold stress and the best subjective preference. However, the 19C condition and the 19CUW condition was not such a cold stress as to give healthy subjects a thermal burden.
With considerable development of comfortable and functional clothing in recent years, we need to evaluate the effects of garment pressure in daily wear on each parts of human body because the garment pressure is important to design the clothing. This study was designed to examine the effects of body postures on garment pressure on each parts of human body in the actual clothing conditions. All the data were collected from 50 volunteered subjects. The Garment pressure was measured in lune and December with 8 points CPMS clothing pressure system from scapular, upper am, elbow, under arm, front waist line, side waist line, abdomen, crista ilica, upper hip, middle hip, front thigh, back thigh, front knee and back knee. The postures of subjects were controlled with 3 positions such as standing (posture 1), sitting on the chair (posture 2), and sitting on the floor (posture 3) during measurement of clothing pressure. Clothing weights were more in men than in woman. It showed that clothing weights had no effects on the garment pressure. In this study, however, just the garment pressures on scapular and top of the hip increased significantly by clothing weight (p<. 05). Clothing horizontally pressed on scapular and top of hip but not on other parts. When subjects stood up, the garment pressure was the highest on the side waist. Especially, clothing pressure on the front waist point was lower than that of the left side waist. On the upper parts of the human body, the garment pressure of left side waist was the highest, and followed by front waist, crista ilica, and abdomen in order. When subjects were sitting on the chair, the garment pressure on the lower parts of the human body was the highest on the top of hip. When the subjects were sitting on the chair or on the floor, the surface area on their skin of hip and waist parts increased by postures. In addition, it showed that men felt more comfortable than women on higher clothing pressure level.
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