3차원 인체형상자료를 이용한 겨드랑둘레선의 형태특성 및 유형
Characteristics and Classification of Armscye Circumference using 3D Scan Data
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
The purpose of this study was to examine the characteristics of armscye circumference which will be used to develop total contents for the apparel industry. The subjects of this study were 16- to 49-year-old women whose 3D body shape data were analyzed. 72 length and length-ratio measurements were taken to each subject' armscye circumference. The used analysis methods are descriptive statistics, principal component analysis, and cluster analysis. The results are follows; 1. Considering the Length of armscye circumference, the result of principal component analysis were extracted 3 factors and those factors comprised 95% of total variance. As the result of the cluster analysis of factor scores, subjects were classified into 4 cluster by their size characteristic. 2. Considering the length-ratio of armscye circumference,the result of principal component analysis were extracted 5 factors and those factors comprised 96.45% of total variance. As the result of the cluster analysis of factor scores, subjects were classified into 5 cluster by their shape characteristic. So that, this research could be useful to manufacture garment which reflected 3D body figure and improved fitting
Abstract
The purpose of this study was to examine the characteristics of armscye circumference which will be used to develop total contents for the apparel industry. The subjects of this study were 16- to 49-year-old women whose 3D body shape data were analyzed. 72 length and length-ratio measurements were taken to each subject' armscye circumference. The used analysis methods are descriptive statistics, principal component analysis, and cluster analysis. The results are follows; 1. Considering the Length of armscye circumference, the result of principal component analysis were extracted 3 factors and those factors comprised 95% of total variance. As the result of the cluster analysis of factor scores, subjects were classified into 4 cluster by their size characteristic. 2. Considering the length-ratio of armscye circumference,the result of principal component analysis were extracted 5 factors and those factors comprised 96.45% of total variance. As the result of the cluster analysis of factor scores, subjects were classified into 5 cluster by their shape characteristic. So that, this research could be useful to manufacture garment which reflected 3D body figure and improved fitting
참고문헌 (9)
- 김민진, "어깨유형에 따른 길 원형 설계 -20대 여성을 중심으로-", 석사, pp.2002
- 김민효, "인체측정용 3차원 스캐너 제작 및 데이터 추출 소프트웨어 개발", 석사, pp.2000
- 김소영, "3차원 스캔한 인체 샅부위의 결측부위 복원 방법 비교", 한국의류학회지, 33(3), pp.401~409 (2009), 한국의류학회
- 김순분, "상완부 및 진동형태에 관한 연구 -젊은 여성과 노년여성의 비교를 중심으로-", 복식, 30, pp.201~210 (1996)
- 이정란, "팔 유형 특성 따른 소매 적합성 연구", 한국의류학회지, 27(2), pp.219~228 (2003), 한국의류학회
- 조경희, "팔 형태특성에 적합한 소매패턴의 소매산부분 제도이론", 한국의류학회지, 32(4), pp.641~650 (2008), 한국의류학회
- 정혜락, "팔의 동작에 따른 소매 원형의 인간공학적 연구", 대한가정학회지, 19(3), pp.21~32 (1981)
- 최명은, "진동 형태 및 소매 원형 제도 방법에 관한 연구", 대한가정학회지, 27(4), pp.1~9 (1989)
- Marijn, V. S., "Towards a human specific hole filling tool box for 3D body scans", 석사, pp.2003