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KCI 등재 SCOPUS
3차원 스캔 데이터를 활용한 스타일별 여성 팬츠 패턴 연구
Women`s Pant Pattern Design According to the Style Using 3D Body Scan Data
윤미경 ( Mi Kyung Yoon ) , 남윤자 ( Yun Ja Nam )
DOI 10.5850/JKSCT.2016.40.1.97
UCI I410-ECN-0102-2016-590-000704365

This study develops pant patterns using body shape, measurement and shell mesh data to decide optimal women``s pants according to styles with excellent size, fit and shape for different individuals and silhouettes. Standard landmarks, lines, triangles and structures were set on a 3D scanned lower body shell to represent women in their twenties and flattened as a 2D pattern. Patterns were created and analyzed according to culotte, formal, slacks and tight type considering crotch shape, location of the crotch point, and adjusting waist darts. Flattened patterns were rotated to compare existing methods. The crease lines were then set through the hip protrusion point and compared. The main factor of the pant pattern were extracted, total rise, crotch depth, crotch width, angle of center line, shape of the center line curve, the thigh width, the amount of waist dart, and crease line position. With going tight style from the culotte, the fits are closer to the figure with minimized thigh circumference, the dart amount decreases, the crotch depth increases, the crotch extensions were shorter, and the angle of the center back increased. The total rise is U shape for culotte and is closer to V shape as the silhouette tightens. T-test of appearance evaluation of the developed pant pattern were conducted after analyzing measurements and shapes of each styles. The results of the developed patterns were superior to existing patterns in accordance to hip line between body and pants as well as appearance evaluation. We found systematic mechanisms among pattern factors that create various pant silhouettes. Evidence on classification of the silhouettes of traditional types of pants were explained objectively through the process of playing out 3D forms.

I. 서론
II. 연구방법
III. 연구결과
IV. 결론
References
[자료제공 : 네이버학술정보]
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