Classification of Side Somatotype of Upper Lateral Torso Analyzing 3D Body Scan Image of American Females

미국 여성의 3차원 바디 스캔 이미지 분석을 통한 상반신 측면체형 분류

  • Na, Hyun-Shin (Dept. of Clothing Science, Seoul Women's University)
  • 나현신 (서울여자대학교 의류학과)
  • Published : 2007.05.31

Abstract

Somatotype is human body shape and physique type which can be classified not only by the size, but also by the shape or posture of the body. Postural variations in the alignment of the back, shoulder, and neck can have an adverse effect on the fit of garments designed to hang from the shoulders. There have been some previous studies about the lateral upper torso by analyzing photographic measurements. In this study, 3D body scan images were used to classify the side somatotype of upper lateral method even though they are major data in the classification of upper torso. This study focused on following objective.; 1) To apply new and developing technology into the apparel industry analyzing 3D body scan images. 2) To classify upper laterla torso using the data through the new improver technology, 3D body scanner. 3) To propose basic materials for well fitted garments for each type of figure. The test subjects for this study were two hundreds nine female aged 19 years and up who were recruited in Cornell university body scan research team. Seventeen Variables(12 angles, 5 lengths) out of 3D body scan data were measured based on these landmarks and applied to analyze. The result of factor analysis indicated that 6 factors were extracted through factor analysis and orthogonal rotation by the method of Varimax and those factors comprise 62.5% of total variance. And the somatotype of upper body is classified into 3 types of figures according to cluster analysis; Bent forward posture, Straight posture, Swayback posture. Future study could be addressed about the somatotype of body by the age group based on the large database with wide variety of age.

Keywords

References

  1. 자료검색일 2005. 9. 5, 자료출처 http://www.britannica.com/eb/article-9068646
  2. Des Marteau, K. (2000, Oct.). CAD: Let the fit revolution begin. Bobbin, 42, pp. 42-56
  3. Simmons, C., Istook, C. L., & Devarajan, P. (2004), Female figure identification technique (FFIT) for apparel-Part I: Describing female shapes. Journal of Textile and Apparel, Technology and Management, 4(1), pp. 1-16
  4. Ashdown, S. P. (1998), An investigation of the structure of sizing systems. International Journal of Clothing Science and Technology, 10(5), PP. 324-341 https://doi.org/10.1108/09556229810239324
  5. Kahn, I. L.(1996). Importance of Posture and Changed Body Configuration for Garment Fit for Women Aged 55-65. Masters thesis, Cornell University
  6. 김소라(2003), 중년여성의 상반신 측면체형 특성에 관한 연구, 대한가정학회지, 41(11) , pp. 1-9
  7. 김혜경 외 7인(1997), 피복인간공학 시험설계 방법론, 서울:교문사
  8. 남윤자(1991), 여성 상반신의 측면 형태에 따른 체형 연구, 서울대학교 대학원 박사학위논문
  9. 정명숙 (2003). 사진자료에 의한 여성 상반신 측면 체형 분류, 한국생활과학회지, 12(5), pp, 767-776
  10. 이혜영(2004), 남성정장 설계를 위한 연령별 치수체계에 관한 연구, 이화여자대학교 대학원 박사학위논문, p. 12
  11. 채서일, 김범종, 이상근(1992), SPSS/PC+를 이용한 통계분석(제 2판), 서울 : 법문사
  12. 이혜영(2004), 남성정장 설계를 위한 연령별 치수체계에 관한 연구, 이화여자대학교 대학원 박사학위논문, p. 13