Open AccessFunctional Method for Joints Parameters Assessment in Human Body Modeling
Author(s) -
Giulia Lisco,
Stefano Paolo Pastorelli,
Laura Gastaldi
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i8293.0881019
Subject(s) - kinematics , sagittal plane , consistency (knowledge bases) , computer science , gait analysis , gait , rotation (mathematics) , coronal plane , motion (physics) , plane (geometry) , motion analysis , simulation , artificial intelligence , mathematics , geometry , physics , physical medicine and rehabilitation , medicine , classical mechanics , radiology
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.