Investigate full-body biomechanics by modeling wearable assistive devices, robots and exoskeletons and investigate if they reliably meet their biomechanical expectations.
Virtually equip your exoskeleton on the operator and compute internal joint loads, stress redistribution, and compensatory mechanisms inside the human musculoskeletal system to digitally test and optimize your mechanically exoskeleton concepts with the AnyBody Modeling System.
- 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.
- Assessing the efficiency of exoskeletons.
- Evaluate changes in the internal body loads (e.g., muscle activities, joint reaction forces, compression forces etc.)
- Investigate side-effects as redistribution of loads onto other body parts.
- Offline multilevel ergonomic assessment of workplaces with assistive machines.
“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.
- Biomechanical investigation of a passive upper extremity exoskeleton for manual material handling – A computational parameter study
- Occupational exoskeletons as advanced ergonomic devices – How the AnyBody Modeling System can be applied
- Offline multilevel ergonomic assessment of workplaces with assistive machines
- Introduction to Innophys and their wearable exoskeleton
- Simulations as a tool for human-centered exoskeleton design
- Assistive Devices: Simulating Physiological Performance
- Schmalz T, Colienne A, Bywater E, Fritzsche L, Gärtner C, Bellmann M, Reimer S, Ernst M (2021), “A passive back-support exoskeleton for manual materials handling: Reduction of low back loading and metabolic effort during repetitive lifting“, IISE Trans Occup Ergon Hum Factors, pp. 1-15. [DOI, WWW]
- 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.
- Zhang L, Liu Y, Wang R, Smith C, Gutierrez-Farewik EM (2021), “Modeling and Simulation of a Human Knee Exoskeleton’s Assistive Strategies and Interaction“, Front. Neurorobot., vol. 15, pp. 13. [DOI, WWW]
- Chander DS, Cavatorta MP (2020), “Modelling Interaction Forces at a Curved Physical Human-Exoskeleton Interface“, In: Hanson L, Högberg D, Brolin E (Ed): Advances in Transdisciplinary Engineering series 11, pp. 217-225. [DOI]
- Smith AJJ, Fournier BN, Nantel J, Lemaire ED (2020), “Estimating upper extremity joint loads of persons with spinal cord injury walking with a lower extremity powered exoskeleton and forearm crutches“, J. Biomech., vol. 107, pp. 109835. [DOI]
- 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.