Numerical measures of user comfort, risk factors, efficiency etc.

Compute individual muscle forces, joint contact forces and moments and metabolism to evaluate changes as stress redistribution and compensatory mechanisms inside the human musculoskeletal system. Investigate how different mechanical design parameters can affect the user and use simulation studies as in-silico evidence of the efficacy and safety of your assistive device.

 

Examples:

  • Augment laboratory and field studies with biomechanical analyses.
  • Use simulation studies as in-silico evidence of the efficacy and safety of your device.
  • Supplement functional and safety portfolio of your device with simulations studies.
  • Test your assistive device’s fit and support through population-based simulations.
  • Optimize the design of an industrial exoskeleton by studying the interaction between the human and the exoskeleton.
  • Evaluate changes in the internal body loads (e.g., muscle activities, joint reaction forces, compression forces, moments, impulse etc.)

 

"The AnyBody Modeling System can simulate trunk muscles that cannot otherwise be measured by normal myoelectricity. In addition, it can calculate joint forces that cannot be captured easily, which makes the software essential for correct estimation of the effect of our exoskeleton. The results and visualizations are additionally used in our promotional videos and has received great feedback from our customers.”

Daigo Orihara, CEO Innophys Co., Ltd.

  • Fritzsche L, Galibarov P, Gärtner C, Bornmann J, Damsgaard M, Wall R, Schirrmeister B, Gonzalez-Vargas J, Pucci D, Maurice P (2021), “Assessing the efficiency of exoskeletons in physical strain reduction by biomechanical simulation with AnyBody Modelling System“, HAL.
  • Tröster M, Schneider U, Bauernhansl T, Rasmussen J, Andersen MS (2018), “Simulation Framework for Active Upper Limb Exoskeleton Design Optimization Based on Musculoskeletal Modeling“, In: Smart ASSIST, pp. 345-353.
  • Zhou L, Li Y, Bai S (2017), “A human-centered design optimization approach for robotic exoskeletons through biomechanical simulation“, Rob. Auton. Syst., vol. 91, pp. 337-347. [DOIWWW]