3DBODY.TECH 2020 - Paper 20.22

S. L. Sokolowski and C. Bettencourt, "Modification of the Female Figure Identification Technique (FFIT) Formulas to Include Plus Size Bodies", Proc. of 3DBODY.TECH 2020 - 11th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Online/Virtual, 17-18 Nov. 2020, #22, https://doi.org/10.15221/20.22.


Modification of the Female Figure Identification Technique (FFIT) Formulas to Include Plus Size Bodies



Sports Product Design, University of Oregon, Portland (OR), USA


With new 3D plus size body scan data available through surveys like Size North America and manufacturers investing in their own data, there was an opportunity to study the shape of modern female plus sized bodies to inform the fit of products for this emerging business demographic. The researchers partnered with a leading apparel company to analyze 3D plus size body scans with the Female Figure Identification Technique (FFIT) for apparel developed by Simmons, Istook, and Devarajan (2004), using mathematical representations of the FFIT body shapes created by Lee, Istook, Nam, and Park (2007). However, during the project, it was discovered through visual inspections there were opportunities to modify the FFIT mathematical formulas to be more inclusive of plus size women. The inspections indicated that some scans were inaccurately classified or not sorted into any shape category. Since plus size women often have larger abdomens than bust or hips, the formulas were modified to include a check for that condition. By understanding shape, manufacturers can have a better idea of how to design, fit and grade products for this market throughout a size range, as opposed to relying on only 2D measurements or linear grading rules from a sample size.


3D body scanning, plus sizes, Female Figure Identification Technique (FFIT) for apparel


Full paper: 2022sokolowski.pdf
Proceedings: 3DBODY.TECH 2020, 17-18 Nov. 2020, Online/Virtual
Paper id#: 22
DOI: 10.15221/20.22
Presentation video: 2022sokolowskibettencourt.mp4

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