Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29358
Title: Sizing and grading for wearable products
Authors: Luximon, A 
Zhang, Y
Luximon, Y 
Ma, X
Keywords: Digital human modeling
Foot and footwear
Principal component analysis
Sizing and grading
Wearable products
Issue Date: 2012
Publisher: Elsevier
Source: CAD computer aided design, 2012, v. 44, no. 1, p. 77-84 How to cite?
Journal: CAD computer aided design 
Abstract: Sizing and grading are widely used to create products to fit selected populations. Currently, the sizing and grading rules are derived from anthropometric measures; however past researches have indicated that it is not very accurate. This study proposes a new technique to use principal component analysis (PCA) on 3D surface points for sizing and grading wearable products. The accuracy of the proposed method is illustrated by developing a sizing and grading rule for the feet. After developing a model using the feet data of 60 participants and validating using the feet data of 10 different participants, results showed that sizing and grading using PCA is more accurate than traditional techniques. Compared with traditional foot sizing, PCA based sizing and grading showed an improvement of about 25% in accuracy. In addition, results also indicated that the grading rule derived from PCA loading was better than the proportional grading. This research provides a new direction to consider when developing the sizing and grading rules. It can be extended to calculate the number of sizes and the size increment for various wearable products.
URI: http://hdl.handle.net/10397/29358
ISSN: 0010-4485
DOI: 10.1016/j.cad.2011.07.004
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