Fashion & Textile Research Journal (한국의류산업학회지)

The Society of Fashion and Textile Industry (한국의류산업학회)
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Analysis of Difference between Direct Measurement and 3-D Automatic Measurement According to Classification of Side Figure of Elderly Women

고령 여성의 측면체형 분류에 따른 직접측정치와 3차원 자동측정치간의 차이 분석

  • Chung, Juwon (QTM) ;
  • Nam, Yun-Ja (Dept. of Textiles, Merchandising and Fashion Design, Seoul National University/ Research Institute of Human Ecology, Seoul National University) ;
  • Park, Jinhee (Research Institute of Human Ecology, Seoul National University)
  • 정주원 (큐티엠) ;
  • 남윤자 (서울대학교 의류학과/서울대학교 생활과학연구소) ;
  • 박진희 (서울대학교 생활과학연구소)
  • Received : 2019.04.15
  • Accepted : 2019.06.14
  • Published : 2019.10.30
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Abstract

This study analyzes differences between the results of 3D direct measurements and automated measurements for Korean elderly females according to age groups, side somatotype, and BMI groups. This study compares the measurement differences of the direct and the 3D automated measurements for women between the ages of 70 to 85, according to age group, BMI group, and side somatotype. A comparison of the results of the direct measurement and the 3D automated measurements for elderly women show that a meaningful discrepancy exists for 29 items out of 33 items. Furthermore, the results of comparing the average error tolerance recommended by ISO20685 shows that 30 items out of 33 items exceeded ISO recommendations. The results of the automated measurement program shows a higher degree of accuracy for straight postures; however, this unsuitable for postures of elderly women with a changed somatotype. The analysis results of the measurement difference indicate the suitability of the automatic measurement programs is found to be high for stood postures, while problems seem to exist on several items along with an automated program is not appropriately used due to posture and part of body changes for elderly women. Therefore, it is recommended to develop an algorithm, that reflects the body changes of elderly women first and then upgrade the automated program equipped with a measurement size method. It is hoped that the study results can be utilized as base data for improving the automated measurement program.

Keywords

References

  1. Choi, I. S., & Nam, Y. J. (1997). Classification and characteristics of the lower body type of elderly women. The Research Journal of the Costume Culture, 7(1), 154-164.
  2. Han, H. S., & Nam, Y. J. (2009). A comparative analysis of the difference between 3D body scan measurements and physical measurements by gender-5th Size Korea adult data. Journal of the Korean Society of Clothing and Textiles, 33(8), 1190-1202. doi:10.5850/JKSCT.2009.33.8.1190
  3. Han, H. S., & Nam, Y. J. (2011). Automatic body landmark identification for various body figures. International Journal of Industrial Ergonomics, 41(6), 592-606. doi:10.1016/j.ergon.2011.07.002
  4. Han, H. S., Nam, Y. J., & Choi, K. M. (2010). Comparative analysis of 3D body scan measurements and manual measure- ments of size Korea adult females. International Journal of Industrial Ergonomics, 40(5), 530-540. doi:10.1016/j.ergon.2010. 06.002
  5. International Organization for Standardization. (2012). ISO 20685: 2012 3-D scanning methodologies for internationally compatible anthropometric databases. International Organization for Standardization. Retrieved October 10, 2019, from https://www.iso.org/standard/63260.html
  6. International Organization for Standardization. (2017). ISO 7250: 2017 Basic human body measurements for technological design - Part 1: Body measurement definitions and landmarks. International Organization for Standardization. Retrieved October 10, 2019, from https://www.iso.org/standard/65246.html
  7. International Organization for Standardization. (2017). ISO 8559-1:2017 Size designation of clothes - Part 1: Anthropometric definitions for body measurement. International Organization for Standardization. Retrieved October 10, 2019, from https://www.iso.org/standard/61686.html
  8. Kim, H. S. (2002). Classification of the somatotype of apparel for elderly female farmers. Fashion & Textile Research Journal, 4(5), 480-486.
  9. Kim, I. M. (2009). Somatotype classification throughout the shoulder and back types of women in their early twenties. Unpublished doctoral dissertation, Dongduk Women's University, Seoul.
  10. Kim, I. S., & Seong, H. K. (2002). Study on classification of elderly women’s body type. Journal of the Korean Society of Clothing and Textiles, 26(1), 27-38.
  11. Kim, K. H., & Choi, H. S. (1996). A study on somatotype of elderly women. Family and Environment Research, 34(2), 183-199.
  12. Kim, S. A., Lee, K. M., & Choi, H. S. (2003). Lower body somatotype classification and discrimination of women according to index. Journal of the Korean Society of Costume, 53(6), 117-130.
  13. Kim, S. A., & Choi, H. S. (2009). Body shapes of aged women applying 3D body scan data. The Research Journal of the Costume Culture, 17(6), 1099-1111. doi:10.29 049/rjcc.2009.17.6.1099 https://doi.org/10.29049/rjcc.2009.17.6.1099
  14. Kim, Y. S., & Sohn, H. S. (1996). A study on classification of elderly women's upper body shape. Family and Environment Research, 34(3), 219-232.
  15. Korean Agency for Technology and Standards. (2014). 고령자 3D 인체형상측정조사 개발사업 최종보고서 [Report of a research on 3D human body shape measurement and development for elderly people]. Jincheon: Author.
  16. Nam, Y. J., & Choi, I. S. (1997). An analysis of the somatotype of elderly women. Journal of the Korean Society of Costume, 34, 19-36.
  17. Park, S. M., & Nam, Y. J. (2012). The verification of accuracy of 3D body scan data - Focused on the Cyberware WB4 whole body scanner. Journal of the Korea Fashion & Costume Design Association, 14(1), 81-96. https://doi.org/10.7233/ijcf.2014.14.2.081
  18. Lee, E. J. (2006). A theoretical analysis on somatotyping of elderly women. Journal of the Korean Society of Fashion & Beauty, 4(1), 35-41.
  19. Lee, E. K. (2001). A study on old-age women's body type and apparel size-specifications. Unpublished master's thesis, Konkuk University, Seoul.
  20. Lee, Y. K., & Lee, J. I. (2008). Classification of lateral body type for elderly women. Journal of Fashion Design, 8(2), 1-22.
  21. Shim, B. J., Suh, C. Y., & Lee, S. Y. (2007). Lower body analysis for pattern design of elderly men's slacks. Journal of Fashion Business, 11(5), 15-34.
  22. Sohn, B. H., & Hong, K. H. (2005). Visual effect and 3D clothing air volume in manufactured jacket pattern for the optical illusion of obese women in middle age. Journal of the Korean Society of Clothing and Textiles, 29(8), 1114-1124.
  23. Statistics Korea. (2011). 장래인구추계 2010-2060 [Future population estimation 2010-2060]. Statistics Korea. Retrieved October 10, 2019, from http://kostat.go.kr/portal/korea/kor_nw/1/2/6/index.board?bmode=read&bSeq=&aSeq=252623&pageNo=2&rowNum=10&navCount=10&currPg=&searchInfo=&sTarget=title&sTxt=
  24. Yi, K. H., & Choi, H. S. (1994). A study of body form classi- fication on elderly women using body indices. Journal of the Korean Society of Clothing and Textiles, 18(4), 560-565.