@inproceedings{7861515114d54a34ba8f982ddfa78043,
title = "A comparative study between three measurement methods to predict 3D body dimensions using shape modelling",
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.",
keywords = "Body dimension prediction, Custom made clothing, Shape modelling",
author = "Thomas Peeters and Jochen Vleugels and Stijn Verwulgen and Femke Danckaers and Toon Huysmans and Jan Sijbers and {De Bruyne}, Guido",
year = "2020",
doi = "10.1007/978-3-030-20216-3_43",
language = "English",
isbn = "978-3-030-20215-6",
volume = "975",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "464--470",
editor = "Emilio Rossi and {Di Nicolantonio}, Massimo and Thomas Alexander",
booktitle = "Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping - Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping",
note = "AHFE 2019 : International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping ; Conference date: 24-07-2019 Through 28-07-2019",
}