Using 3D Scan to Determine Human Body Segment Mass in OpenSim Model

• Published in: Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management Vol. 10917; pp. 29 - 40
• Main Authors: Chang, Jing, Chablat, Damien, Bennis, Fouad, Ma, Liang
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 01.01.2018; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Biomechanical analysis; Body segment mass; Computer Science; Musculoskeletal Disorders; OpenSim; Robotics; Virtual human model; Musculoskeletal disorders; OpenSim; virtual human model; body segment mass; Open- Sim; biomechanical analysis
• ISBN: 9783319913964; 3319913964
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-91397-1_3

Biomechanical motion simulation and dynamic analysis of human joint moments will provide insights into Musculoskeletal Disorders. As one of the mainstream simulation tools, OpenSim uses proportional scaling to specify model segment masses to the simulated subject, which may bring about errors. This study aims at estimating the errors caused by the specifying method used in OpenSim as well as the influence of these errors on dynamic analysis. A 3D scan is used to construct subject’s 3D geometric model, according to which segment masses are determined. The determined segment masses data is taken as the yardstick to assess the errors of OpenSim scaled model. Then influence of these errors on the dynamic calculation is evaluated in the simulation of a motion in which the subject walks in an ordinary gait. Result shows that the mass error in one segment can be as large as 5.31% of overall body weight. The mean influence on calculated joint moment varies from 0.68% to 12.68% in 18 joints. In conclusion, a careful specification of segment masses will increase the accuracy of the dynamic simulation. As far as estimating human segment masses, the use of segment volume and density data can be an economical choice apart from referring to population mass distribution data.