2026 Undergraduate Research Showcase

3D Modeling Various Infant Head Geometries Using Parametric Modeling Software

Document Type

Student Presentation

Presentation Date

4-24-2026

Faculty Sponsor

Dr. Erin Mannen and Andrew Bossert

Abstract

Excessive neck flexion is a critical risk factor for infant positional asphyxia, yet existing Anthropomorphic Test Devices (ATDs) fail to account for variations in occipital geometry. This study aims to develop a parametric model capable of representing a diverse range of infant head shapes to better assess this risk. Utilizing a database of AI-generated infant head morphologies, parametric modeling in SolidWorks was employed to create a versatile digital framework. This model successfully represents theoretical extremes in head geometry that are currently missing from standardized frameworks. By 3D printing these models, researchers can empirically test how specific occipital shapes influence neck flexion in various seating environments. This work provides a scalable tool for improving infant safety equipment design by accounting for anatomical diversity.

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