A comparative study between three measurement methods to predict 3D body dimensions using shape modelling

Conference paper (2020)

Authors

Thomas Peeters Universiteit Antwerpen
Jochen Vleugels Universiteit Antwerpen
Stijn Verwulgen Universiteit Antwerpen
Femke Danckaers Universiteit Antwerpen
T. Huysmans Applied Ergonomics and Design - IDE
Toon Huysmans Applied Ergonomics and Design - IDE
Jan Sijbers Universiteit Antwerpen
Guido De Bruyne Universiteit Antwerpen, Lazer Sport NV
Research Group
Applied Ergonomics and Design (IDE) (TU Delft)
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Published Date

2020

Language

English

Reuse Rights

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Faculty

Industrial Design Engineering

Department

Human-Centered Design

Research Group

Applied Ergonomics and Design

Abstract

In times of online shopping, it is a challenge to select the right size of the desired clothing without fitting it before ordering. Therefore, this study describes three techniques to predict 3D upper body dimensions. The first method used basic personal parameters (gender, age, weight and length), the second technique used also the shoulder width and the last method used a 3D Styku scan to add extra input parameters. The accuracy of the three prediction methods was compared against hand measurements for 17 upper body dimensions of 37 subjects. The Intraclass Correlation Coefficient increases with 11.2% for the Styku method compared to the other methods. For chest, hip and waist measurements, the basic method is reliable to predict 3D body dimensions and indicate the right size from an existing collection. For more accurate upper body dimensions as needed for producing custom made clothing, a 3D Styku scan can supply the desired input.