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Related Experiment Video

Updated: Jul 14, 2025

Customizing a Cryolite Glass Prosthetic Eye

Customizing a Cryolite Glass Prosthetic Eye

Published on: October 31, 2019

Parametric design for custom-fit eyewear frames.

Yuanqing Tian¹, Roger Ball¹

¹Atlanta Georgia Institute of Technology, School of Industrial Design, Georgia.

|October 9, 2023

Summary

This summary is machine-generated.

This study introduces a parametric design method for custom-fit eyewear frames using 3D head scans. This approach aims to improve eyewear comfort and vision by tailoring frames to individual facial measurements.

Keywords:

3D scan Algorithm Anthropometrics Customized product Design Eyewear Face Fit Parametric design

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Area of Science:

Biomedical Engineering
Computer-Aided Design (CAD)
Human Factors Engineering

Background:

Eyewear is widely used for vision correction and protection, with over half the global population relying on it.
Poorly fitting eyewear can lead to significant discomfort, including dizziness and blurred vision, impacting user experience.
Custom-fit solutions are essential to address the limitations of mass-produced eyewear and enhance wearer comfort and visual acuity.

Purpose of the Study:

To propose and validate a novel parametric design method for creating customized eyewear frames.
To leverage individual 3D head and face scan data for personalized frame generation.
To establish a robust landmark-product relationship for accurate eyewear customization.

Main Methods:

Development of a parametric algorithm using Rhino/Grasshopper software.
Utilizing 3D scanned head-and-face measurements as input for the design process.
Case study application focusing on eyeglasses frames for diverse anthropometric subjects.

Main Results:

Successful generation of custom-fitted eyeglass frame models for two distinct subjects (33rd percentile Asian female, 90th percentile Caucasian male).
Demonstration of the parametric design method's capability to produce individualized eyewear frame designs.
Establishment of a foundational workflow for personalized eyewear frame creation.

Conclusions:

The proposed parametric design method offers a viable approach for generating custom-fitted eyewear frames.
Individualized 3D data integration is key to improving eyewear fit and user comfort.
Future research will focus on validating frame fit and further optimizing the design methodology.