Fashion & Textile Research Journal (한국의류산업학회지)

The Society of Fashion and Textile Industry (한국의류산업학회)
권호 표지
DOI QR코드

DOI QR Code

Producing a Semi-automatic Profile Measuring Program (SPMP) in Body Silhouette for Elderly Women

  • Oh, HeeKyung (Division of Environmental Clothing Studies, Bunka Gakuen University) ;
  • Maruta, Naomi (Faculty of Home Economics, Kyoritsu Women's University) ;
  • Nagashima, Shinobu (Information Science, Rikkyo University) ;
  • Hirokawa, Taeko (Advanced Study of Clothing Construction, Bunka Gakuen University)
  • Received : 2012.05.28
  • Accepted : 2012.10.22
  • Published : 2012.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study presents a new method called the SPMP (Semi-automatic profile measuring program) to efficiently measure body shape in elderly women. SPMP can automatically measure the angle of axis (19 items), surface (17 items), lengths (14 items), heights (16 items), widths (13 items), and depth (6 items). In total these 85 items are automatically measured very quickly, accurately, and easily after manually marking an initial 36 points. The utility of SPMP was evaluated using several tests. When SPMP measuring results were compared with manual methods (using a ruler and protractor) in thirteen elderly women using a paired t-test, there was no significant difference found between them. Furthermore, when measurements from SPMP were compared with actual measurement results in selected items from seven elderly women's measurements, smaller mean differences were found than those defined by ISO 20685, with the exception of the abdominal area which moves easily with breathing. Seven independent measurements of a single elderly woman were made by seven students using SPMP, and the values of coefficient of variation were less than 5% for all but 8 items. Finally, this study analyzed the correlation of all 85 item measurements, and found that the angle from the upper chest to the neck towards the front in the axis curved forward as much as the axis angle from the thigh to the waist (r=-0.876, $^{**}p$ < 0.01) bent backwards in elderly women. This detailed analysis helps to understand age-related changes in body posture, and will be useful in future studies.

Keywords

References

  1. Hirokawa, T. (2008). 3次元人体計測装 置による3次元デ一タ利用の高齡 者用衣服パタ一ンの自動設計開發. 平成17年度-19年度科學究究 費補助金（基盤究(A)） 硏究成果報告書．[Automated design development of the clothes pattern for elderly people of the three-dimensional data use by the three-dimensional human body measuring device. Tokyo : 2005-2007 Scientific Research Subsidy (Based research (A)) Research Performance Report].
  2. Igarashi, S., & Makabe, H. (2001). The characteristics of body figure of middle and old aged women through body measurement data. Journal of Home Economics, 47, 61-70.
  3. Iwasaki, K., Miyoshi, M., Hirokawa, T., Saito, K., & Isozaki, A. (1998). Variation of body forms of middle and old aged women Part1 : Comparison of body forms of middle and old aged women according to discriminant analysis. The Japan Research Association for Textile End-Uses, 39(5), 57-65.
  4. Ikeya, K., Matsuda, T., & Kunimoto, A. (2011). Visual C# 2010 逆引き大全555 極[555 secret of reverse Encyclopedia]. Tokyo:Shuwa System．
  5. Japanese Industrial Standards. (2009). JIS Hand book. Tokyo: Author.
  6. Miyoshi, M., & Nagatomi, A. (1993). A study on changes in the passage of time and classification of young women's side view somatotypes - Part 1-. Journal of Bunka Women's University, 24, 93－107.
  7. Miyoshi, M. (2008). 服裝造形學 理論編 I [Clothes making I]. Tokyo: Textbook press of Bunka Women's University.
  8. Nakamoto, S., & Miyoshi, M. (1980). A study on the side view classification of women's somatotypes-(1) A quatitative analysis of somatotype names-. Journal of Bunka Women's University, 11, 43-60.
  9. Nam, Y. (1991). (A) Study on classification of somatotype based on the lateral view of women's upper body. Unpublished doctoral dissertation, Seoul National University, Seoul.
  10. Nagatomi, A., & Saito, K. (2003). Mechanism improvement and inspection of the somato type automatic movie camera. Journal of Bunka Women's University, 34, 15-22.
  11. Oh, H. (2010). Changes in body shape in elderly women over 65. Unpublished master's dissertation, Bunka Women's University, Tokyo.
  12. Okabe, K., & Kurokawa, T. (2005a). Extraction of feature points from silhouette curves for body shape analysis in Japanese women. Japan Ergonomics Society, 41(1) 11-16. https://doi.org/10.5100/jje.41.11
  13. Okabe, K., & Kurokawa, T. (2005b). Silhouette analysis and categorization of body shape changes in Japanese girls during periods of growth. Japan Ergonomics Society, 41(1), 17-23. https://doi.org/10.5100/jje.41.17
  14. Shiraishi, S., & Doi, D. (1982). Study of the characteristics of body form of old people. -Part 1 classification of side silhouette-. The Japan Research Association for Textile End-Uses, 23(2), 74-78.
  15. Sugita, H., Tanaka, M., Takahashi, Y., Sato, Y., & Yamada, H. (2001). Preference of female college students in judging the body silhouette of young women. Journal of Home Economics of Japan, 52(5) 31-37.
  16. Takao, S. (1970). Harmony between design of women's dresses and physical types -Part 4- Forms around the trunk of the body and their classification. Journal of Home Economics of Japan, 21(5), 49-54.
  17. Watanabe, K., Furumatsu, Y., & Matsuyamay, Y. (1999). Analysis of the dorsal shape of elderly Japanese women and a comparison with young women. Journal of Home Economics of Japan, 50(12), 39-48.
  18. Yanagisawa, S., Suzuki, H., Ito, R., & Shimizu, K. (1968). A study on the body silhouette of the Japanese females. Journal of Home Economics of Japan, 19(2), 46-49.