Journal of Graphic Engineering and Design

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Customized helmet design using computational and physical prototyping design principles

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  • Prodromos Minaoglou,
  • Konstantinos Kakoulis,
  • Panagiotis Kyratsis
Prodromos Minaoglou
University of Western Macedonia, Department of Product and System Design Engineering, Kozani, Greece
Konstantinos Kakoulis
University of Western Macedonia, Department of Product and System Design Engineering, Kozani, Greece
Panagiotis Kyratsis
University of Western Macedonia, Department of Product and System Design Engineering, Kozani, Greece

Published 2025-12-09

abstract views: 3 // Full text article (PDF): 2


Keywords

  • helmet design,
  • safety design,
  • computational design,
  • product design,
  • wearable devices,
  • algorithmic design,
  • visual programming,
  • 3D printing
    • ...More
    Less

How to Cite

Minaoglou, P., Kakoulis, K., & Kyratsis, P. (2025). Customized helmet design using computational and physical prototyping design principles. Journal of Graphic Engineering and Design. Retrieved from https://sp.ftn.uns.ac.rs/index.php/jged/article/view/2129

Copyright (c) 2025 © 2026 Authors. Published by the University of Novi Sad, Faculty of Technical Sciences, Department of Graphic Engineering and Design. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license 4.0 Serbia

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Bicycle helmets are designed to protect the user in case of a fall or collision. The effectiveness of a helmet depends on many factors, one of which is its correct fit on the user's head. The presented paper aims to develop an application that can generate personalized helmet designs based on user-provided data. After receiving the user's data, the design process is automatically carried out via a computer-based algorithm. The data provided includes two photos, capturing both the front and side views of the user's head. Using these images, the algorithm analyzes the curvature, proportions, and size of the head to create curves that closely align with the user's head shape. This information is then used to design a helmet comprising of two main components: the outer shell and the inner lining. The outcomes of this study were effectively assessed through two methods. The initial evaluation involved digital analysis using 3D scanning technology to compare the head curvatures between the algorithm and the scanned model. The second evaluation utilized 3D printing technology. Using appropriate materials, the helmet was fabricated while its geometry was applied evenly to the user's head.

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