• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.10
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• pp.1801-1808
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• 2001

본 연구는 노년여성을 위한 의복 원형을 설계하기 위하여 60∼80세 의 노년여성을 대상으로 직접 계측을 실시하여 체형을 유형화하고 동작에 따른 체표면 특성을 분석하였다. 인자분석을 실시한 결과 상반신 비만요인, 높이요인, 상반신 앞면길이, 어깨 형태, 상반신 뒷면 길이, 어깨 경사도, 목형태, 진동깊이의 8개 인자가 추출되었다. 군집분석에 의한 체형분류 결과, 유형 1은 상반신의 골격이 가장 작고 왜소하며 가슴의 하수가 작은편의 앞으로 굴신된 체형이며, 유형 2는 키가 작고 보통인 체형으로 상반신의 앞뒤면 길이가 짧으며 가슴의 하수가 크고 어깨가 넓고 약간 앞으로 숙여진 체형이다. 유형 3은 키가 가장 크고 등과 어깨가 두꺼운 골격이 큰 체형이다. 유형 4는 키가 약간 크고 마른 체형에 상반신 앞면길이 인자가 큰 유형으로 약간 뒤로 젖혀진 체형이라 할 수 있다. 동작에 따른 체표면의 변화를 델마토그래프법 (Dermatograph method)에 의해 측정 한 결과, 가로 방향에서 동작에 따라 유의한 차이를 나타낸 기준선은 뒤목점-어깨끝점길이, 어깨 길이 및 앞가슴둘레선, 후액와선이며, 세로 방향에서는 어깨끝점-BP-허리중심점, 어깨중심에서 앞허리선까지의 앞길이 및 옆선길이로 나타났다.

• Journal of the Korean Society of Costume
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• v.55 no.5 s.95
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• pp.87-100
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• 2005

This study was to provide the fundamental data for a scientific and rational clothing construction by investigating the length variation of the upper body surface, using the method of surgical tape. The subjects were 15 early elementary schoolgirls in Busan area classified by three somatotypes, Arm-movements were consisted of 6 types. The statistical analyses used in this study were mean, standard deviation and the ANOVA and LSD procedure. The results of the analysis of the length of the upper body surface are as follows: By arm-movements, in the items of horizontal, front neck base girth, back upper bust girth, back bust girth and back under bust girth were increased and the other standard lines were apt to be decreased. In the items of vertical, all standard lines of front side and side seam length showed increased, the lines of bark side were apt to be decreased. The shoulder length represented the maximum rate of decrease($-36.59\%{\~}-48.98\%$) in M6($180^{\circ}$) and the side seam showed the maximum rate of increase($49.74\%{\~}59.22\%$) in the same movement.

• The Journal of Natural Sciences
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• v.9 no.1
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• pp.105-112
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• 1997

This study was carried out to examine the calculations including the ease amount for bodice pattern. The conclusions were as follows. The areas that were required the ease amount were the horizontal reference line, armhole depth, back & front width. According to this result the calculations including the ease amount were obtained as follows: B/2+4.1cm for horizontal reference line, B/6+6.8 cm for armhole depth, B/6+3.9 cm for the half of back width, B/6+2.3 cm for the half of front width, B/4+4.3 cm for bust point length.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.12 s.148
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• pp.1595-1607
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• 2005

Three-dimensional(3-D) body scanners used to capture anthropometric measurements are now becoming a common research tool far apparel. This study had two goals, to test the accuracy and reliability of 3-D measurements of dynamic postures, and !o analyze the change in upper body surface measurements between the standard anthropometric position and various dynamic positions. A comparison of body surface measurements using two different measuring methods, 3-D scan measurements using virtual tools on the computer screen and traditional manual measurements for a standard anthropometric posture and for a posture with shoulder flexion were $-2\~20mm$. Girth items showed some disagreement of values between the two methods. None of the measurements were significantly different except f3r the neckbase girth for any of the measuring methods or postures. Scan measurements of the upper body items showed significant linear surface change in the dynamic postures. Shoulder length, interscye front and back, and biacromion length were the items most affected in the dynamic postures. Changes of linear body surface were very similar for the two measuring methods within the same posture. The repeatability of data taken from the 3-D scans using virtual tools showed satisfactory results. Three times repeated scan measurements f3r the scapula protraction and scapula elevation posture were proven to be statistically the same for all measurement items. Measurements from automatic measuring software that measured the 3-D scan with no manual intervention were compared with the measurements using virtual tools. Many measurements from the automatic program were larger and showed quite different values.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1825-1836
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• 2008

Many applications in computer graphics require complex and highly detailed models. However it is often desirable to use approximations in place of excessively detailed models in order to control the processing time. Thus, we aim to develop a notion of optimal matrix to simplify surface which can rapidly obtain the high quality 2D patterns flattening 3D surface as follows. Firstly, two 3D bodies are modeled based on existing Size Korea data. Secondly, each model is divided by shell and block for its pattern draft. Thirdly, each block is flattened by grid and bridge method. Finally, we selected the optimal matrix and demonstrated the efficiency and quality of the proposed method. This proposed approach accommodates surfaces with darts, which are commonly used in the clothing industry to reduce the deformation of surface forming and flattening. The resulting optimal matrix could be an initiation of standardization for pattern flattening. It is expected that this method could facilitate much better approximation in both efficiency and precision.

• Journal of the Korean Society of Costume
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• v.49
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• pp.25-48
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• 1999

The purpose of this study is to offer fundamental data for classification of somatotype for boys of elementary school age. The subject were 458 elementary school boys aged from 7 to 12 living in Pusan, Data were collected by 57 anthropometric and 11 photographic measurements and analyzed by factor analysis according to SAS package 1. Through the factor analysis by each period of school ages 6-7 factor were obtained in upper half and they are as followings: 1) Factor 1 is horizontal size of upper half in every period 2) Factor 2 is vertical size of upper half in every period 3) Factor 3 is shoulder shape in the first period and length of upper half in the middle and latter period 4) Facto 4 sis length of upper half in the first period and shoulder shape in the middle and latter period 5) Factor 5 is angle shape of the breast and back in the first period angle shape of the lower breast and back in the middle of period and angle shape of the upper breast and back in the latter of period 6) Factor 6 is angle of shoulder in the first period angle shape of the upper breast and back in the middle of period and angle shape of the lower breast and back in the latter of period 7)Factor 7 is angle of shoulder in the latter of period 2. Through the factor analysis by each period of school ages 5-6 factor were obtained in lower half and they are as followings: 1) factor 1 is horizontal size of upper half in every period 2) Factor 2 is vertical size of upper half in every period 3) Pactor 3 is angle shape of the belly and upper buttock in the first period and length of lower half in the middle and latter period 5) Factor 5 is angle shape of the lower buttock in the first period angle shape of the upper belly and buttock in the middle of period and angle of the side posture in the latter of period 6) Factor 6 is angle shape of the lower buttock in the middle of period and angle shape of the lower belly and buttock