J.-M. Surville and S. Herichi, "HOAXY Body Shapes and Fashion Formula", in Proc. of 1st Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2010, pp. 249-258, https://doi.org/10.15221/10.249.
Title:
HOAXY Body Shapes and Fashion Formula
Authors:
Jean-Marc SURVILLE 1, Sonia HERICHI 2
1 Lectra, France;
2 Victor Segalen Bordeaux University, France
Abstract:
The keynote speech introduces the use of 3D scans as tools in "HOAXY" styling (as used by the Fashion Formula book). This approach comes from understanding how body shape relates to silhouette shape in a garment. This classification is based on the 3 principal girths: the bust, the waist, and the hip. Designers use letters to refer to these typical shapes. The "pencil" or "tubular" shape is an H, the "pyramid" shape is an A, the classical "hourglass" is an X shape, and so on. Body shapes are both an illusion and a reality: Illusion as appearance and reality as a volume to be dressed in live conditions. The classification will also be presented in different postures. We applied the HOAX concept to the traditional appearance of someone walking: For men, a Y shape was added while an S ("spoon") shape was required for women. However, this classification does not take heights into account. We developed the same goal to classify into HOAXY shapes, using parameters based on the 2D shape, taking height into account.
We used the Rand criteria statistical tool to evaluate the two classifications of the same population. As dressing people is not a static concept, we extended the study to predict changes in body volume between standing and sitting posture, including trouser posture evaluation. To predict the shape in the sitting posture, we used the standing-position HOAXY classification. Results for women and men will be detailed separately. H women mostly remain in H shape in sitting posture. However, some H women sit in an S posture where hips become wider. The benefits of being able to predict certain critical measurements are discussed as usable for different industries such as furniture or car seats and are clear for the apparel industry.
Keywords:
Anthropometry, Scanner, Body shape, HOAX statistics, postures
Details:
Full paper: 10.249.pdf
Proceedings: 3DBST 2010, 19-20 Oct. 2010, Lugano, Switzerland
Pages: 249-258
DOI: https://doi.org/10.15221/10.249
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