Using 3D Statistical Shape Models for Designing Smart Clothing

Conference paper (2019)

Authors

Sofia Scataglini Royal Military Academy, Military Hospital Queen Astrid
Femke Danckaers Universiteit Antwerpen
Robby Haelterman Royal Military Academy
T. Huysmans Applied Ergonomics and Design - IDE , Universiteit Antwerpen
Jan Sijbers Universiteit Antwerpen
Giuseppe Andreoni Politecnico di Milano
Research Group
Applied Ergonomics and Design (IDE) (TU Delft)
Smart clothing Statistical body shape modeling (SBSM) Anthropometry Blender Motion capture
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Published Date

2019

Language

English

Reuse Rights

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Faculty

Industrial Design Engineering

Department

Human-Centered Design

Research Group

Applied Ergonomics and Design

Abstract

In this paper we present an innovative approach to design smart clothing using statistical body shape modeling (SBSM) from the CAESAR™ dataset. A combination of different digital technologies and applications are used to create a common co-design workflow for garment design. User and apparel product design and developers can get personalized prediction of cloth sizing, fitting and aesthetics.