Musculoskeletal modeling – Freedom to explore new horizons – dynamic modeling of musculoskeletal motion
Our cutting edge simulation technology offers you detailed, quantitative insights on the workings of muscles, joints and bones in the human body. Leading research institutes around the world use our products and services to achieve pivotal solutions in engineering, health technology, sports sciences and a host of other disciplines.
AnyBody Modeling System Applications
- Musculoskeletal modeling and simulation
- Human biomechanics analysis
- Inbuilt human full-body model library
- Rehabilitation research
- Functional outcome evaluation
- Product development
- Exoskeleton development
- Human-device interaction
- Amputee motion and prosthesis design
- Gait analysis
- Ground Reaction Force (GRF) prediction
- Ergonomic and population studies
- Ergonomic assessment with and without assistive devices
- Activities of daily living
- Sports analysis
- Motion synthesis
- Load case generation for Finite element (FE) models
- Animal biomechanics
and more…
Selected AnyBody features
- Detailed, fully editable musculoskeletal models
- Motion capture data inputs
- Motion synthesis without experimental data
- Subject specific model customization
- Joint kinematics calculation
- Muscle, joint and ligament force predictions
- Export predicted forces to Finite Element (FE) systems
- Detailed implant behavior simulation
- Tutorials for beginners
- Highly customizable model setup
- Human Biomechanics
See more features: Feature list
Recent Product Presentations
- New features in the AnyBody Modeling System Version 8.0
- What’s New In The AnyBody Modeling System Version 7.4
- New features in the AnyBody Modeling System Version 7.3
- New features in the AnyBody Modeling System Version 7.2
- New AnyBody Modeling System: Tour and overview of version 7.1
- New AnyBody Modeling System: Tour and overview of version 7.0
Using Motion Capture Data (MoCap) in AnyBody
- Readymade model templates for working with Motion Capture data
- Webcasts: Vicon motion capture data for AnyBody Musculoskeletal analysis & From Qualisys to AnyBody musculoskeletal analysis
- Interfaces for marker-based and IMU MoCap data
- Readily input C3D and BVH file formats
- Automatic anthropometric scaling
- Ground reaction force prediction when data is unavailable
See also: AnyBody for Motion Capture Lab
At the University of Applied Sciences Technikum Wien we have been using the AnyBody Modeling System for more than a decade now.
AnyBody helps us to teach students biomechanics and musculoskeletal simulation by starting with the basics. The ability to create models from scratch and visualize the basic elements of a model and their properties helps beginners understand the underlying concepts and allows them to interpret results, modify existing models and create new models.
And it’s great that AnyBody support is available when students need help with models for their Master’s thesis, that even their supervisors are struggling with.
MSc PhD Stefan Litzenberger, Head of Study Program Master Sports Technology, University of Applied Sciences Technikum Wien
Selected Musculoskeletal Modeling Research
- Shayestehpour H, Tørholm S, Damsgaard M, Lund ME, Wong C, Rasmussen J, (2024), “A generic detailed multibody model for simulating thoracic spine and ribcage kinematics”. Multibody Syst. Dyn., [ DOI, WWW ]
- Skipper Andersen M, de Zee M, Damsgaard M, Nolte D, Rasmussen J, (2017), “Introduction to Force-Dependent Kinematics: Theory and Application to Mandible Modeling”. J. Biomech. Eng., vol. 139, pp. 091001. [ DOI, WWW ]
- Skals S, Jung MK, Damsgaard M, Andersen MS, (2017), “Prediction of ground reaction forces and moments during sports-related movements”. Multibody Syst. Dyn., vol. 39, pp. 175-195. [ DOI, WWW ]
- Carbone V, Fluit R, Pellikaan P, van der Krogt MM, Janssen D, Damsgaard M, Vigneron L, Feilkas T, Koopman HF, Verdonschot N, (2015), “TLEM 2.0 – a comprehensive musculoskeletal geometry dataset for subject-specific modeling of lower extremity”. J. Biomech., vol. 48, pp. 734-741. [ PDF, DOI, WWW ]
- Marra MA, Vanheule V, Fluit R, Koopman BH, Rasmussen J, Verdonschot N, Andersen MS, (2015), “A subject-specific musculoskeletal modeling framework to predict in vivo mechanics of total knee arthroplasty”. J. Biomech. Eng., vol. 137, pp. 020904. [ DOI ]
- Lund ME, de Zee M, Andersen MS, Rasmussen J, (2012), “On validation of multibody musculoskeletal models”. Proc. Inst. Mech. Eng. H, vol. 226, pp. 82-94. [ DOI, WWW ]
- Andersen MS, Damsgaard M, MacWilliams B, Rasmussen J, (2010), “A computationally efficient optimisation-based method for parameter identification of kinematically determinate and over-determinate biomechanical systems”. Comput. Methods Biomech. Biomed. Engin., vol. 13, pp. 171-183. [ DOI, WWW ]
- Andersen MS, Damsgaard M, Rasmussen J, (2009), “Kinematic analysis of over-determinate biomechanical systems”. Comput. Methods Biomech. Biomed. Engin., vol. 12, pp. 371-384. [ DOI, WWW ]
- de Zee M, Hansen L, Wong C, Rasmussen J, Simonsen EB, (2007), “A generic detailed rigid-body lumbar spine model”. J. Biomech., vol. 40, pp. 1219-1227. [ DOI, WWW ]
- Damsgaard M, Rasmussen J, Christensen ST, Surma E, de Zee M, (2006), “Analysis of musculoskeletal systems in the AnyBody Modeling System”. Simulation Modelling Practice and Theory, vol. 14, pp. 1100-1111. [ DOI, WWW ]
- Rasmussen J, Damsgaard M, Voigt M, (2001), “Muscle recruitment by the min/max criterion — a comparative numerical study”. J. Biomech., vol. 34, pp. 409-415. [ DOI, WWW ]