| Issue |
E3S Web Conf.
Volume 697, 2026
The 5th International Conference on Renewable & Sustainable Energies and Green Processes (RSEGP2025)
|
|
|---|---|---|
| Article Number | 00012 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202669700012 | |
| Published online | 13 March 2026 | |
Extended Study of Human Trunk Model Including Inter-Individual Variability
1 Applied Mechanics and Systems Research Laboratory, Tunisia Polytechnic School, University of Carthage, 2078 Tunis, Tunisia
2 Department of Mechanical Engineering, College of Engineering at Al Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia
3 Department of Mechanical Engineering, National Engineering School of Tunis, University of Tunis El Manar, 1002 Tunis, Tunisia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Personalized musculoskeletal models of the human trunk are essential for advancements in diagnosis, medical devices development, and ergonomics. In a previous study, a finite element model (FEM) of the human trunk was developed, and its effective mechanical properties such as stiffness and damping were calibrated using experimental data from a single participant when subjected to time-dependent excitations at the thoracic level. The objective of the present work is to extend this modeling approach by evaluating its ability to incorporate inter-individual variability. To this end, an identical experimental campaign was conducted on a second participant. The model parameters were then identified for this new subject using the same calibration methodology. A strong correlation was obtained between the simulated results and the experimental data from the second participant. This successful outcome confirms the model adaptability to other individual variation. The validated approach constitutes a reliable tool for generating realistic and subject-specific databases intended for advanced applications in machine learning and biomechanical simulation.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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