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Validation of Automated Somatotype Estimation Proposal Using Full-Body 3D Scanning
Bibiána Ondrejová1, Lucia Bednarčíková1, Norbert Ferenčík1
1Department of Biomedical Engineering and Measurement, Faculty of Mechanical Engineering, Technical University of Košice, 042 00 Košice, Slovakia.
Bioengineering (Basel, Switzerland)
|July 29, 2025
Summary
3D body scanning offers a reliable and accurate alternative to manual somatotyping for assessing body composition. This non-invasive method shows high agreement with traditional techniques, supporting its use in sports science and research.
Area of Science:
- Anthropometry
- Sports Science
- Human Biology
Background:
- Somatotyping is crucial for body composition analysis in sports science, anthropology, and medicine.
- Traditional manual somatotyping methods, like Heath-Carter, are susceptible to errors and variability.
- There is a need for more accurate and reliable somatotyping techniques.
Purpose of the Study:
- To evaluate the validity and reliability of 3D body scanning as an alternative to manual somatotyping.
- To compare somatotype component calculations derived from 3D scanning data versus traditional anthropometric measurements.
Main Methods:
- 117 participants (49 males, 68 females, aged 18-27) underwent both manual anthropometric measurements and full-body 3D scanning (TC² NX-16).
- Somatotype components (ectomorphy, mesomorphy, endomorphy) were calculated using the Heath-Carter method for both approaches.
- Statistical analyses, including intraclass correlation coefficients (ICCs) and Bland-Altman analysis, were used for comparison.
Main Results:
- The 3D scanning method demonstrated high agreement (87.18%) with manual measurements.
- Minor overestimation of the endomorphic component was observed with 3D scanning; mesomorphic and ectomorphic components showed minimal differences.
- High reliability was confirmed, with ICC values exceeding 0.87 for all components.
Conclusions:
- Full-body 3D scanning is a viable, non-invasive, and efficient alternative for somatotyping.
- The method's accuracy and reliability support its application in sports science, health monitoring, and anthropometric research.
- Future research should focus on refining endomorphy estimation models and exploring AI for enhanced precision.
