Publication
Title
A comparative study between three measurement methods to predict 3D body dimensions using shape modelling
Author
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.
Language
English
Source (book)
Advances in additive manufacturing, modeling systems and 3D prototyping / Di Nicolantonio, M. [edit.]; et al.
Source (series)
Advances in intelligent systems and computing ; 975
Publication
Cham : Springer , 2020
ISBN
978-3-030-20215-6
978-3-030-20216-3
DOI
10.1007/978-3-030-20216-3_43
Volume/pages
p. 464-470
ISI
000643757800043
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Art 
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 12.07.2019
Last edited 02.10.2024
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