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Identification of the Relationship between Surface Variations of Lower Body Parts by Movement Using 3D Scan Data - A Focus on Women Aged 20 to 24 Years -

3D 스캔데이터를 활용한 동작에 따른 하반신 주요 부위별 체표면 변화 및 상관관계 - 20-24세 여성을 중심으로 -

  • 이소영 (건국대학교 의상디자인학과) ;
  • 김지민 (건국대학교 의상디자인학과)
  • Received : 2016.10.22
  • Accepted : 2017.03.02
  • Published : 2017.04.30

Abstract

The purpose of this study is to provide basic information for the development of pants patterns with a high level of fit and comfort through calculating surface variations of lower body parts by movement, grouping them into factors, and analyzing how their surface variations link to one another. The achieved results will help determine essential elements for constructing pants patterns, such as key measurements of lower body parts, the amount of ease values and selection of fabrics, which should be taken into consideration for allowing better movement in clothing. The study required lower body 3D scanning of women for analysis, and 13 women between the ages of 20-24 participated in the scanning, which was done by using Artec Eva 3D scanner. Their scanned data were digitalized and converted to measure the values of their lower body surface length and girth in pre-determined positions such as walking, stair climbing and sitting on a chair. These measurements have been statistically analyzed through SPSS 21.0 to obtain the average amounts and rates of extension for each of the measurement item. Some of the highlighted study results are as follows: The surface length and girth measurements were grouped into 4 factors based on their average extension rates. The results from correlation analysis between measurement items within each factor demonstrated that common items linked to all the changes in the values of other items in the three movements. But in most cases, items were not always correlated with each other for different movements. The results also showed that there were correlations between girth measurements, length measurements, and girth and length measurements. Therefore, key measurements for daily pants should be determined within reasonable estimations between relevant measurement items, while the measurements for work pants, which often withstand certain postures or repetitive movements, may require measurement items that are appro priate for, and closely related to, certain movements or tasks.

Keywords

References

  1. Bye, E., LaBat, K. L., & DeLong, M. R. (2006). Analysis of body measurement systems for apparel. Clothing & Textile Research Journal, 24, 66-79. https://doi.org/10.1177/0887302X0602400202
  2. Choi, S. L. & Do, W. H. (2016). Lower Body Type Classification by Buttocks Shapes of Korean Women in Their 20's. Journal of Fashion & Textile Research, 18(3), 327-337. https://doi.org/10.5805/SFTI.2016.18.3.327
  3. Choi, S. Y. & Ashdown, S. P. (2010). Application of Lower Body Girth Change Analysis Using 3D Body Scanning to pants Patterns. Journal of Korean Society of Clothing and Textiles, 34(6), 955-968. https://doi.org/10.5850/JKSCT.2010.34.6.955
  4. D'Apuzzo, N. (2007). 3D body scanning technology for fashion and apparel industry. In Beraldin, J. A., Remondino, F., & Shortis, M. R. (Eds.), Videometrics IX, Proceedings of SPIE-IS&T Electronic Imaging (Vol. 6491). San Jose (CA), USA: SPIE.
  5. Hwang, S. J. (2005). Standardization and Integration of Body Scan Data for Use in the Apparel Industry-Body Scan Data Connectivity with Apparel CAD (Unpublished doctoral dissertation). North Carolina State University, United States of America.
  6. Jeong, Y. H. & Hong, K. H. (2015). Subjective Wearing Assessment and Clothing Pressure depending on the Pattern Reduction Rate of Developed Cycle Pants Using the 3D Human Scan Data. Korean Journal of Human Ecology, 24(2), 255-266. https://doi.org/10.5934/kjhe.2015.24.2.255
  7. Kang, M. J. & Kwon, Y. A. (2013). An analysis on the Fit Preferences of Breeches using 3D Lower Body Scan data. Journal of Fashion & Textile Research, 15(6), 1000-1009. https://doi.org/10.5805/SFTI.2013.15.6.1000
  8. Kim, H. S., Lee, S. Y., Kim, J. M., & Lee, J. H. (2012). Lower Somatotype Analysis of Middle and Older Aged Women-Focused on Women in 40s to 60s-. Journal of the Korean Society of Costume, 62(3), 84-95. https://doi.org/10.7233/jksc.2012.62.3.084
  9. Kim, J. M. & Kim, H. S. (2014). Analysis of Breast Shapes through the Utilization of 3D Scan Data: A Focus on Women in the Early to Late 30s. Family and Environment Research, 52(5), 509-518. https://doi.org/10.6115/fer.2014.043
  10. Kim, S. Y. & Nam, Y. J. (2016). A Study on the Classification of Lower Body Shape Type for Fit Evaluation of Slacks. Fashion Business, 20(2), 181-196. https://doi.org/10.12940/jfb.2016.20.2.181
  11. Kouchi, M. (2014). Part I. Anthropometric methods: Anthropometric methods for apparel design: body measurement devices and techniques, In Gupta, D., & Zakaria, N. (Eds.), Anthropometry, apparel sizing and design (pp. 67-93). Cambridge, UK: Woodhead Publishing Limited.
  12. Lee, J. H. & Cho, H. J. (2001). Design of Torso Patterns for Middle Aged Women. Journal of the Korean Society of Costume, 51(8), 111-121.
  13. Lee, S. Y. (2015). Analysis of Changes to Body-Surface Length of Lower Body by Movement. Journal of Korea Society of Design Trend, 48, 29-44.
  14. Lim, J. Y. & Kim, H. K. (2000). Clothing-Ergonomics Study on the Development of Slacks Pattern and Wearing Evaluation for the Middle-high School Girls Based on the their Lower Body Type. Journal of the Korean Society of Clothing and Textiles, 24(8), 1125-1136.
  15. Morlock, M., Schneider, E., Bluhm, A., Vollmer, M., Bergmann, G., Muller, V., & Honl, M. (2001). Duration and frequency of every day activities in total hip patients. Journal of Biomechanics, 34, 873-881. https://doi.org/10.1016/S0021-9290(01)00035-5
  16. Park, E. Y. & Choi, H. S. (2007). Analysis of the Body Somatotype of Male Athletes and Study on the Improvement of the Fitting for the Upper Body. Journal of the Korean Society of Clothing and Textiles, 31(1), 44-56. https://doi.org/10.5850/JKSCT.2007.31.1.044
  17. Robinette, K. M. (2012). Human Factors and Fundamentals: Anthropometry for Product Design, In G. Salvendy (Ed.), Handbook of Human Factors and Ergonomics (pp.330-346). New Jersey, USA: John Wiley & Sons, Inc.
  18. Shin, J. H. & Sohn, H. S. (2011). Torso Body-Type Classification of Korean Women in Their Early Twenties. The Research Journal of the Costume Culture, 19(1), 176-190. https://doi.org/10.29049/rjcc.2011.19.1.176
  19. Sohn, B. H. (2008). Development of Men Slacks Pattern Using 3D Scan Data. Family and Environment Research, 46(9), 137-146.
  20. Wang, Y. J., Mok, P. Y., & Kwok, Y. L. (2011). Section II. Human Factors in Manufacturing: Analysis of Lower Limb Measurements in Running Progress for High-Performance Slacks Design, In Karwowski, W., & Salvendy, G. (Eds.), Advances in Human Factors, Ergonomics, and Safety in Manufacturing and Service Industries (pp. 210-221). Florida, USA: Taylor & Francis Group, LLC.
  21. Wu, Y. J. & Hong, K. H. (2012). Methods of Merging a 3D Replica and Ease Distribution for Woman's Pant Patterns. Journal of the Korean Society of Clothing and Textiles, 36(4), 443-455. https://doi.org/10.5850/JKSCT.2012.36.4.443
  22. Yoon, M. K. & Nam, Y. J. (2016). Women's Pant Pattern Design According to the Style Using 3D Body Scan Data. Journal of the Korean Society of Clothing and Textiles, 40(1), 97-113. https://doi.org/10.5850/JKSCT.2016.40.1.97
  23. Yoon, M. K., Nam, Y. J., & Choi, K. M. (2007). 2D Lower Body Flat Pattern of the Women in Their Twenties Using 3D Scan Data. Journal of the Korean Society of Clothing and Textiles, 31(5), 692-704. https://doi.org/10.5850/JKSCT.2007.31.5.692

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  1. A Study on Changes in Breadth and Depth Measurements of Women’s Lower Bodies with Different Postures Using 3D Scan Data : A Focus on Women Aged between 20 and 24 Years vol.69, pp.3, 2017, https://doi.org/10.7233/jksc.2019.69.3.061