Abstract
This paper presents research of female body characteristics using modern computer technology with specific application of research results in clothing engineering design and customization process. Based on anthropometric survey conducted on Croatian female population, different female body types and morphology parameters that determine affiliation to a particular type were defined. Survey was conducted using 3D scanning method, in static and dynamic body positions to gain an insight of body surface deformability in motion, important for providing high level of garment fit. Using 3D flattening method, both scanned and parametric body models, customized according to particular body types, were separated into the discrete 2D surfaces determined by anatomical planes and characteristic bodily lines. Discrete body surfaces were analyzed in terms of contour shape and surface values, and differences in obtained parameters between different body types were determined. Contour shapes of flattened body segments were analyzed and compared with the standard garment construction and grading methodology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Gill, S., Heyes, S.: Lower body functional ease requirements in the garment pattern. Int. J. Fashion Design Technol. Educ. 5, 13–23 (2012)
Petrak, S., Mahnic, M., Rogale, D.: The impact of male body posture and shape on design and garment fit. Fibres Tex. East. Eur. 6, 150–158 (2015)
Fisher, T., et al.: Automatic morphological classification with Case-Based Reasoning, In: 6th International Conference on 3D Body Scanning Technologies, pp. 148–158. Hometrica Consulting, Ascona (2016)
Vuruksan, A., Bulgun, E.: Identification of female body shapes based on numerical evaluations. Int. J. Cloth. Sci. Tech. 23, 46–60 (2011)
Petrak, S., Mahnic Naglic, M.: Dynamic anthropometry – defining a protocols for automatic body measurement. Tekstilec 60, 254–262 (2017)
Petrak, S., Mahnic Naglic, M., Gersak, J.: Sizing and fit for swimsuits and diving suits. In: Zakaria, N., Gupta, D. (eds.) Anthropometry, Apparel Sizing and Design, pp. 255–288. Elsevier, UK (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Naglic, M.M., Petrak, S. (2021). Analysis of Surface Segments Deviations Between Different Female Body Types Based on 3D Flattening Method. In: Cassenti, D., Scataglini, S., Rajulu, S., Wright, J. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1206. Springer, Cham. https://doi.org/10.1007/978-3-030-51064-0_31
Download citation
DOI: https://doi.org/10.1007/978-3-030-51064-0_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-51063-3
Online ISBN: 978-3-030-51064-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)