Development of helmet mold design system using 3D anthropometric analysis

Abstract

Purpose

The purpose of this paper is to develop a software can generate helmet mold from three-dimensional (3D) human body scan data.

Design/methodology/approach

An algorithm has been developed to divide data into arbitrary number of groups considering the width, length and height of head using the standard normal distribution theory. A basic helmet mold is generated automatically based on the shape of representative convex hull for each group.

Findings

It is possible to analyze the 3D human body scan data of groups with various characteristics and apply them to mass customized production of helmet.

Practical implications

This methodology can be applied for designing other products related to the head shape such as goggles and masks by varying the measurement items of the head.

Social implications

This methodology will enable mass customized production centered on consumers in the production and design of various equipment and goods to be worn on the head.

Originality/value

An algorithm has been developed to define the vertex point, which is the limit of scan data, for the analysis of 3D human body scan data scan data. In addition, a system was developed that can mass-produce customized products by effectively dividing groups while taking into account the physical characteristics of consumers.

Citation

Kang, Y. and Kim, S. (2020), "Development of helmet mold design system using 3D anthropometric analysis", International Journal of Clothing Science and Technology, Vol. 32 No. 3, pp. 446-456. https://doi.org/10.1108/IJCST-02-2019-0022