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Musculoskeletal Simulation

Predicting Human Responses
  • The aim of this project is to predict the effect of sports equipment and rehabilitation devices on human movement and performance. It is difficult, costly, unethical, or even impossible to answer question through human testing. Therefore, we develop methods for biomechanical modeling and simulation for predicting human responses. The investigation of new methods is necessary to provide a more realistic simulation while considering model complexity and computing time. We enhance current methods which already allow a 2D simulation. This project is in cooperation with adidas AG and the Human Motion & Control Lab at the Cleveland State University. The framework should be integrated and provided to the Opens external link in new windowOpenSim community.


Predictive Simulation of Uphill and Downhill Running
  • Predicting human responses to environmental changes is required for biomechanical analysis and sports product design. If case studies, environmental conditions or prototypes cannot be realized, modeling and simulation can be used instead. The aim of this work was to evaluate a method of predictive musculoskeletal simulation (van den Bogert et al., 2012) for uphill and downhill running. The predicted energy costs for running at different slopes were compared to literature (Minetti et al., 2002). 


    Articles in Conference Proceedings
    Dorschky, Eva; van den Bogert, Antonie J.; Schlarb, Heiko; Eskofier, Björn
    Predictive Musculoskeletal Simulation of Uphill and Downhill Running
    Book of Abstracts of the 20th Annual Congress of the European College of Sport Science (20th Annual Congress of the European College of Sport Science), Malmö - Schweden, 24.06.2015 - 27.06.2015, pp. 126, 2015, ISBN 978-91-7104-567-6 (BiBTeX, Who cited this?)