Functional Method for Joints Parameters Assessment in Human Body Modeling
Giulia Lisco1, Stefano Pastorelli2, Laura Gastaldi3

1Giulia Lisco, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy.
2Stefano Pastorelli, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy.
3Laura Gastaldi, Department of Mathematical Sciences, PolitoBIOMed Lab, Politecnico di Torino, Torino, Italy.

Manuscript received on 03 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1085-1089 | Volume-8 Issue-10, August 2019 | Retrieval Number: I8293078919/2019©BEIESP | DOI: 10.35940/ijitee.I8293.0881019
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Abstract: The integration of proper algorithms and computer graphics-based systems seems promising for the design of biomechanical models and the relative motion analysis. Thus, consequences on research fields as gait analysis are gathered, focusing on joints kinematics. Human motion patterns are indeed directly influenced from human model and associated joints parameters, such as centers and axes of rotation. These, as a matter of fact, determine the body segments coordinates systems. Joints parameters are estimated with several methods. The aim of this research is to evaluate the consistency of a functional approach versus a the predictive one. A validation of the algorithm used to estimate the lower limbs joints centers in gait analysis is provided with a proper subject-specific multibody model implemented in OpenSim space. Joints angles are estimated using a global optimization method and a comparison with the gold standard technique is also discussed. Overall the obtained results are consistent for the two different methodologies. The correlation of the curves is excellent in the sagittal plane, and very good in the coronal and transversal plane.
Keywords: Biomechanics, Functional methods, Gait analysis, Motion analysis, Global optimization method, joints.
Scope of the Article: Human Computer Interactions