• Journal of the Korean Society of Clothing and Textiles
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• v.17 no.3
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• pp.391-406
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• 1993

The purpose of this study was to utilize of apparel CAD System by the classification of the basic pattern block in pattern making process. Gerber AM-300 CAD System was used for this study. The results form this study were as follows; 1. New shirts block were developed. 2. The sensory test was applied to evaluate the new shirts block for women by comparing it with Japanese Bunka shirts blouse pattern making method. According to a statistical analysis of the result of the 20 items on the questionnaire, the 19 items showed significant difference(${\alpha}{\leq}0.01$)between the two, with the new shirts block having higher scores. 3. A basic pattern block was selected by the design sketch. 4. P/D/S were enabled to be constructed directly from a block pattern. The drawing, deletion. duplication, and movement of all points and lines in the pattern might be made freely, and the split, pivot, and movement of the pattern, and the attachment of two patterns were possible. 5. Automatic grading of finished pattern have been developed by creation and modification of grading rules of block pattern.

• The Korean Fashion and Textile Research Journal
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• v.15 no.3
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• pp.336-346
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• 2013

This study focuses on 'texture' as one of the most important fashion and textile design elements; in addition, it proposes various applications of it. Surface texture is indispensable in fashion and textile design that also factors heavily into innovative creations. Along with technological advances in the fashion industry, surface texture has derived many new and attractive features that provide more opportunities for designers to show various design concepts. Rather than the surface quality of fabrics, surface texture in fashion design creates its identity through a manipulation of materials- an application that tends to be primarily for visual effects without being restricted to decorative purposes. The status and significance of surface texture in various creative fields is explored and the evolution of surface texture is traced by analyzing a number of fashion design cases with representative surface textures. The latest feature of surface texture in fashion and textile design is identified to establish a new classification of surface texture with five groups and technical suggestions. This study provides a theoretical basis for this field of study and a new framework that can be employed in the development of surface textures that use innovative techniques as well as the future application of newly-developed textures.

• Journal of the Korean Society of Costume
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• v.52 no.6
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• pp.51-69
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• 2002

The purpose of this study was to classify the body shapes. exclusive of size and corpulence factors of more than 60-year old elderly women by distinctions, and to investigate the visual effects of combination of ensemble suit details. For the body shape classification, the factor analysis and cluster analysis were performed : the mean value difference of numeral values for classified types were tested by ANOVA : and the follow-up test was conducted by the Duncan's multiple ranged test. The data analysis for visual effects evaluated by a multiple ranking test was analysed by mean. paired t-test, ANOVA and Duncan's multiple ranged test. The results are summarized as follows : 1. The followings are the types of body shape according to the shape factors of the front line of body for elderly women. The distinctions of the front li e of elderly women's body could be presumed; that was, Body typeⅠ was a comparatively well-balanced body type, Body type Ⅱ was close to an average body type. and Body type In was a severely corpulent body type. 2. The followings are the results on the physical visual effects inducing the constituents of clothing type. 1) The neckline·collar types of a jacket have a great influence on the visual effects of the upper body, and orderly. the tailored collar. soutien collar, and round neckline had positive influence on the visual effects in the upper body. 2) The pleat types of one-piece dress had positive influence on the visual effects in the lower body in the order of gored type, pleats type, and gathered type. Also. the balance in the lower body had more influence on the overall balance of the clothing compared to the constituents of clothing type such as neckline collar type or opening line. 3) It showed that whether there is the front opening line of a jacket influenced on the visual effects of all categories.

• Journal of the Korean Society of Costume
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• v.63 no.1
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• pp.97-107
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• 2013

To give satisfaction with the fit to a wearer, the wearer's body size and body types should be considered first, this study conducted the descriptive statistical analysis on the upper body measurements of women in their 20s because their body shape has reached the completion stage of adult female's physical development. Also, the analysis classified their upper body types into groups to secure basic data for (maximum satisfaction with the fit of ready-to-wear clothing. The factor analysis was conducted using 49 items of measurement. The main factor analysis was used as a factor extraction method. After extracting the factors with Eigenevalues over 1, the factor loadings were drawn using the Varimax rotation. As a result, 6 factors were extracted. To secure internal consistency, factors that could lower the reliability of the experiment were taken out, so only 36 of the 49 items were used for the analysis. After selecting the items to recognize the main features of each body type, they were used for the final factor analysis. The entire R square of the 6 factors was 84.06%. To classify the upper body types of women in their 20s and to recognize the main features of each body shape type, the researcher conducted the cluster analysis with the items generated from the factor analysis. Through the cluster analysis, the upper body type of women in their 20s were classified into 3 body types. Also, since there are some restrictions on this research objects in terms of local and numbers of measured objects, the results of the this research should only be used as basic data.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.3_4
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• pp.377-386
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• 2004

This report is the second study to develop the standard tables of body measurements to be used for improving the fit of garments and patterns for women aged 60 and older. The purpose of this study is to suggest the new sizing system proper to the women aged 60 and older by classifying their somatotype and developing the standard tables of body measurements for each somatotype. The data are the anthropometric measurements of 329 women aged 60 and older measured in 2001 and the 1997 National Somatometry Survey data. The major contents of this study are as follows. The applicability of KS K 0051 and ISO 3637 sizing systems to the women aged 60 and older was investigated by analyzing the distribution of height and drop index the difference of hipgirth and bustgirth. In this result, we certified the two sizing systems were not so proper to elderly women and the new sizing system proper to them was required. So, we classified the somatotype of the women aged 60 and older to 3 groups, 135cm$\leq$H(height)＜145cm, 145cm$\leq$H＜155cm, 155cm$\leq$H＜165cm by height and classified to 3 groups, -4cm$\leq$D(drop)＜16cm, -4cm$\leq$D＜4cm, -l6cm$\leq$D＜-4cm by drop index, and we suggested more proper sizing system for women aged 60 and older by compounding height and drop groups. We also developed the standard tables of body measurements every bustgirth groups of 9 somatotypes. We expect the standard tables of body measurements to applicate to manufacture clothing for elderly women.

• Journal of the Korean Society of Clothing and Textiles
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• v.17 no.4
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• pp.587-601
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• 1993

In the order to grasp their physical characteristics stemming from activity amount, this paper has divided elderly women into the following group ; those with high activity in the past, those with low activity in the present, those with high activity in the present and those with low activity in the present. The analyses of the body measurements and the pie chart, and the classification of back shapes by taking photographs have led to the following results. 1. The items of depth and girth among the body measurements were significant in the past and the present activity. Those with high activity in the past had smaller sizes in depth and girth than those with low activity. 2. From the pie chart, it was shown that those with high activity in the past had smaller sizes in every index as well as in girth than those with low activity in the past. Both those with low activity in the present and those with medium activity in the present had somewhat large sizes in waist girth, bust girth, hip girth and abdominal girth and in the indices of these items. 3. The classification of back shapes by taking photograpes has shown that those with high activity in the past had the less bent body type-42 percent of Type A and 6.5 percent of Type D. Among those with medium activity in the present, Type A was most outstanding and Type C and Type D were less, This fact shows that those with medium activity in the present keep the most normal body type. This proves that the medium activity of elderly women is desirable for keeping the normal body type.

• Journal of Fashion Business
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• v.4 no.4
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• pp.83-96
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• 2000

The purpose of this study is to offer the basic data for chinese men' clothing construction. This study analyzes characterization and classification of body types of the Chinese men with body measurement values. This researcher executed the body measurement of total 39 items on 414 chinese men in Beijing and Shanghai aged 20-49 years old and analyzed the data with methods of analysis of variance, factor analysis and cluster analysis using it as the study item. The results of this study can be summarized as follows; 1. As the result of comparative analysis of the body measurements by age group and region group, the horizontal items such as the widths, depths, and girths increased with advancing ages, while heights decreased. 2. As the result of factor analysis on the items, 5 factors on such as the first factor on the obesity of body, the second factor on the size of vertical of body, the third factor on the length of upper body, the forth factor on the width of the shoulder, the fifth factor on the degree of dropping shoulder were extracted. 3. As the result of classification based on the cluster analysis, the body type were classified into 5 types. So, to see the feature of body form by types, type 1 was small stature, short parts of the body. type 2 was tallest, fattest and type 3 was small stature, fat. type 4 was tall, long length arm and leg, thick waist. type 5 was tall, long length arm and leg, fat.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.5
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• pp.573-581
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• 2002

This study was done to classify children's somatotypes and to provide the fundamental data or their clothing sizing system for the purpose of designing patterns fur children's wear and standardizing sizes of ready-made clothes. The sampling was done for 7-8 years-old-girl living in Pusan and Kyungsangnam-do. Data from each girl comprises 33 anthropometic measurments and 7 photogrphic measurments, based on the somatometric characteristics of girls which I had obtained. Factor analysis, cluster analysis, discriminant analysis were performed for statistical analysis of the data. Seven factors which explain 76.49% of the whole variances were extracted. The thirst and second factors which explain more than 70% of the whole variances represent 'horizontal size 'and 'vortical size', which characterize most aspects of the body shape of the subjects. On the basis of the cluster analysis, three different upper body types were categorized. Type 1 has quite long surface length of the upper body and rising shoulders and are close to the averages of this age group. Type 2 has highest stature, biggest frame, dropped shoulders and surface length of the upper body similar to the type 1. Type 3 has shortest stature, smallest frame and sloping shoulders. According to the analysis to discriminate somatotypes of the upper body by this age group, the discriminative items in discriminant function are follows. As this group, waist circumference of discriminant function 1 and front length and length between both shoulder points of discriminant function 2 have large coefficient values.

• The Korean Fashion and Textile Research Journal
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• v.23 no.2
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• pp.226-236
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• 2021

The purpose of this study was to classify the torso shape based on abdominal protrusion caused by changes in the physical characteristics of middle-aged women. This study analyzed 3D shape data of 401 females ranging in age from 40 to 59 years who participated in the 6th Size Korea project. Based on the Size Korea 3D measurement standard, 27 additional items such as height, protrusion, and angle were measured in the 3D scan data. Nine factors were extracted from the analysis of constituent factors of the torso: "vertical size of torso," "flatness and protrusion of abdomen," "torso front extrusion," "upper body height," "bust size and flatness," "size of belly and angle of lower abdomen," "hip length," "hip flatness," and "horizontal size of bust." As a result of the cluster analysis using these nine factors, the torsos of middle-aged women were classified into three types. Type 1 has upper abdominal deposition with a small and long upper body and an advanced abdomen; type 2 has lower abdominal deposition with a small and short torso and a small belly and hip flexion; and type 3 has central abdominal deposition with a big and long torso, large breasts, and protruding abdo¬men front. The middle-aged women were mostly distributed in Type 2. The above results will be useful as basic data for the development of clothing with improved fit to accommodate the changed physical characteristics of middle-aged women.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.1
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• pp.165-181
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• 2022

The fashion industry is creating innovative business models using artificial intelligence. To efficiently utilize artificial intelligence (AI), fashion data must be classified. Until now, such data have been classified focusing only on the objective properties of fashion products. Their subjective attributes, such as fashion brand sensibilities, are holistic and heuristic intuitions created by a combination of design elements. This study aims to improve the performance of collaborative filtering in the fashion industry by extracting fashion brand sensibility using computer vision technology. The image data set of fashion brand sensibility consists of high-end fashion brand photos that share sensibilities and communicate well in fashion. About 26,000 fashion photos of 11 high-end fashion brand sensibility labels have been collected from the 16FW to 21SS runway and 50 years of US Vogue magazines beginning from 1971. We use EfficientNet-B1 to establish the main architecture and fine-tune the network with ImageNet-ILSVRC. After training fashion brand sensibilities through deep learning, the proposed model achieved an F-1 score of 74% on accuracy tests. Furthermore, as a result of comparing AI machine and human experts, the proposed model is expected to be expanded to mass fashion brands.