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Optimization in the Extraction of Hand Anthropometric Measurements with a Semi-Automated Module
DescriptionThe integration of 3D scanning technologies has transformed anthropometry, enabling faster and more detailed data collection compared to traditional methods. Beyond simple linear dimensions, 3D scans capture complex surfaces, volumes, and angles, providing deeper insights into human morphology. This enhanced capability supports the design of ergonomic products tailored to diverse populations, as well as the customization of medical devices, tools, and sports equipment. However, the human hand presents particular challenges due to its anatomical complexity and variability in size, shape, and mobility. Current automated measurement systems, widely applied to full-body scans, struggle to deliver reproducible and efficient results for the hand.

To address this gap, we developed an automated module within Rhino/Grasshopper capable of extracting 192 anthropometric variables from each hand model. These include 173 measurements (dimensions, circumferences, interdigital spaces, and angles) and 19 geometric features such as fold lines and cross-sections. Comparative analyses demonstrate a substantial improvement in efficiency: 173 measurements obtained in 15 minutes versus 41 in 60 minutes using commercial software. This 16-fold increase in speed enhances the feasibility of large-scale hand databases. While tailored to hand anthropometry, the module’s functions can be extended to other body regions, advancing both research and product design.