Browse > Article
http://dx.doi.org/10.5762/KAIS.2016.17.2.227

Studies on Representative Body Sizes and 3D Body Scan Data of Korean Adolescents  

Choi, Seung-il (Department of Industrial & Systems Engineering, Kongju National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.2, 2016 , pp. 227-232 More about this Journal
Abstract
3D body scan data are used widely in various fields to make products and living spaces for superior human body fitness. Based on the 3D measurements of human bodies for teens in Size Korea 2013, this research provides a way of finding the representative body sizes and 3D body scan data. First, a multi-dimensional vector space consisting of many measurement items was projected onto a 2D vector space with circumference and length components via factor analysis. The representative body sizes and 3D scan data close to these values were obtained via the Mahalanobis distance in 2D space. Considering the adolescent growth pattern shown on this 2D space, males were divided into 4 age groups and females were divided into 3 age groups. Using the eigenbodies corresponding to the column vectors of the component score coefficient matrix, the representative body sizes of 13 measurement items (male) and 14 measurement items (female) for each age group were calculated. The representative body sizes and 3D scan data are very useful for modeling representative 3D human figures.
Keywords
Body Scan Data; Eigenbody; Factor Analysis; Human Modeling; Mahalanobis Distance;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Korean Agency for Technology and Standards, Size Korea [Internet]. Korea, Available From: http://sizekorea.kats.go.kr/01_sizekorea/outline.asp. (accessed December 15, 2015)
2 Korean Agency for Technology and Standards, Survey Report of 3D Measurements of Human Bodies for Teens in 2013, Ministry of Trade, Industry and Energy, December, 2013.
3 K. Jung, O. Kwon, H. You, "Development of the Boundary Zone Method for Generation of Representative Human Models", Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 53, No. 19, pp. 1472-1476, 2009. DOI: http://dx.doi.org/10.1177/154193120905301902   DOI
4 K. Jung, O. Kwon, H. You, "Evaluation of the Multivariate Accommodation Performance of the Grid Method", Applied Erogonomics, Vol. 42, No. 1, pp. 156-161, 2010. DOI: http://dx.doi.org/10.1016/j.apergo.2010.06.004   DOI
5 Y, Park, S. Chin, "Extraction of Full Body Size Parameters for Personalized Recommendation Module", Journal of the Korea Academia-Industrial Cooperation Society, Vol. 11, No. 12, pp. 5113-5119, 2010. DOI: http://dx.doi.org/10.5762/KAIS.2012.13.12.5689   DOI
6 J. Kang, "Human Body Vibration Analysis under Consideration of Seat Dynamic Characteristics", Journal of the Korea Academia-Industrial Cooperation Society, Vol. 13, No. 12, pp. 5689-5695, 2012. DOI: http://dx.doi.org/10.5762/KAIS.2012.13.12.5689   DOI
7 M. Han, E. Choi, S. Oh, "A Analysis of Proper Workbench for Body Type of Dental Technician", Journal of the Korea Academia-Industrial Cooperation Society, Vol. 14, No. 1, pp. 328-335, 2013. DOI: http://dx.doi.org/10.5762/KAIS.2013.14.1.328   DOI
8 R. D. Maesschalck, D. Jouan-Rimbaud, D. L. Massart, "The Mahalanobis Distance", Chemo metrics and Intelligent Laboratory Systems, Vol. 50, No. 1, pp. 1-18, 2000. DOI: http://dx.doi.org/10.1016/S0169-7439(99)00047-7   DOI
9 M. Collins, J. Zhang, P. Miller, H. Wang, H. Zhou, "Eigenbody: Analysis of Body Shape for Gender from Noisy Images", International Machine Vision and Image Processing Conference, 2010.
10 M. Bastioni, R. Simone, M. Shakti, "Ideas and Methods for Modeling 3D Human Figures: The Principle Algorithms used by Makehuman and their Implementation in a New Approach to Parametric Modeling", Proceedings of the 1st Bangalore Annual Compute Conference, ACM, 2008. DOI: http://dx.doi.org/10.1145/1341771.1341782