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

Jing Chang (1, 2) , Damien Chablat (1, 2) , Liang Ma (3) , Fouad Bennis (1)

1 LS2N - Laboratoire des Sciences du Numérique de Nantes
2 LS2N - équipe ReV - Robotique Et Vivant
3 THU - Tsinghua University [Beijing]

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.

Mots clés: Musculoskeletal disorders; OpenSim; Open- Sim; body segment mass; biomechanical analysis; virtual human model

Domaines: Robotique [cs.RO]

Jing Chang, Damien Chablat, Liang Ma, Fouad Bennis. Using 3D Scan to Determine Human Body Segment Mass in OpenSim Model. Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management, 10917, 2018, Lecture Notes in Computer Science, 978-3-319-91396-4. ⟨10.1007/978-3-319-91397-1_3⟩. ⟨hal-01771866⟩