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3D digital headform models of Australian cyclists
Thierry Ellena1, Sebastian Skals2, Aleksandar Subic3
1School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Building 251, Level 3 Bundoora Campus East, Plenty Road, Bundoora, VIC 3083, Australia.
Applied Ergonomics
|November 29, 2016
Summary
Current headform standards may not fit Australian cyclists well. New 3D digital headform models reveal significant shape differences, suggesting improved designs are needed for better-fitting head and facial gear.
Area of Science:
- Ergonomics
- Anthropometry
- Biomechanics
Background:
- Traditional 1D anthropometric data offer limited univariate measures for head and facial gear design.
- 3D anthropometric data provide comprehensive head surface shape but are complex to interpret.
- Existing headform standards based on 1D data may not accurately reflect diverse head shapes.
Purpose of the Study:
- To develop representative digital headform models for Australian adult cyclists.
- To compare these new models against current Australian headform standards.
- To highlight potential fitting issues with existing gear designs.
Main Methods:
- Utilized an Australian 3D anthropometric head shape database.
- Applied a modified hierarchical clustering algorithm to generate models.
- Generated four distinct digital headform models.
Main Results:
- Identified significant shape variations between the new models and current Australian standard headforms.
- The new models offer a more nuanced representation of cyclist head shapes.
- Current standards may lead to suboptimal fit for head and facial gear.
Conclusions:
- Digital headform models derived from 3D data are crucial for accurate representation.
- Existing headform standards may not adequately serve the Australian cyclist population.
- Rethinking head and facial gear design based on updated 3D anthropometric data is recommended for optimal fit.
