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Evaluating 3D Hand Scanning Accuracy Across Trained and Untrained Students
Ciprian Glazer1, Mihaela Oravitan1, Corina Pantea1
1Faculty of Physical Education and Sport, West University of Timisoara, 300223 Timisoara, Romania.
Bioengineering (Basel, Switzerland)
|July 29, 2025
Summary
A brief training session significantly improves 3D scanning accuracy and user experience in medical applications. This enhances reliability for clinical diagnosis, surgical planning, and custom device creation.
Area of Science:
- Medical Technology
- Biomedical Engineering
- Digital Imaging
Background:
- Traditional hand measurements in medicine are inconsistent and time-consuming.
- Three-dimensional (3D) scanning offers a more accurate alternative for applications like orthotics and surgical planning.
Purpose of the Study:
- To evaluate the practicality of a commercial 3D scanning method.
- To compare the accuracy of 3D hand scans between an experimental and a control user group.
Main Methods:
- 261 hand scans were captured using the Structure Sensor Pro 3D scanner.
- Scans were analyzed for surface area, volume, and mesh quality using Meshmixer software.
- Digital literacy and user experience surveys were administered.
Main Results:
- The experimental group, with minimal training, significantly outperformed the control group in scan accuracy (surface area, volume, etc.).
- Participants in the experimental group reported higher ease of use, excitement, and practicality.
Conclusions:
- A short 15-minute training session enhances 3D scanning reliability and user proficiency.
- Improved 3D scanning accuracy supports clinical diagnosis, surgical planning, and personalized device manufacturing.
