Inverse dynamics method using optimization techniques for the estimation of muscles forces involved in the elbow motion

International Journal on Interactive Design and Manufacturing

Volumn 3, Issue 4, 2009, Pages 227-236

  Pontonnier, Charles ^a   Dumont, Georges ^b  

^a INRIA   (France)

^b UNIVERSITÉ EUROPÉENNE DE BRETAGNE   (France)

Author keywords

Constrained optimization; Inverse dynamics; Muscle forces; Simulation; Virtual reality

Indexed keywords

EID: 76349125137     PISSN: 19552513     EISSN: 19552505     Source Type: Journal    
DOI: 10.1007/s12008-009-0078-4     Document Type: Article

References (26)

1. An K. N., Hui F. C., Morrey B. F., Linscheid R. L., Chao E. Y.: Muscles across the elbow joint: a biomechanical analysis. J. Biomech. 14, 659-669 (1981).
2. Bidault, F., Chablat, D., Chedmail, P., Pino, L.: Distributed approach for access and visibility task under ergonomic constraints with a manikin in a virtual reality environment. In: Proceedings of 10th IEEE International Workshop on Robot and Human Communication, pp. 32-37 (2001).
3. Buchanan T. S., Loyd D. G., Manal K., Besier T. F.: Neuromusculoskeletal modeling: estimation of muscle forces and joints moments and movements from measurements of neural command. J. Appl. Biomech. 20, 367 (2004).
4. Chalfoun, J.: Prédiction des efforts musculaires dans le système main avant-bras: Modélisation, simulation, optimisation et validation., Ph. D. thesis, Université de Versailles Saint-Quentin en Yvelines (2005).
5. Challis H. J.: Producing physiologically realistic individual muscle force estimations by imposing constraints when using optimization techniques. Med. Eng. Phys. 19(3), 253-261 (1997).
6. Coutée A. S., MacDermott S. D., Bras B.: A haptic assembly and disassembly simulation environment and associated computational load optimization techniques. J. Comput. Inf. Sci. Eng. 1(2), 113-122 (2001).
7. De Leva P.: Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters. J. Biomech. 29, 1223-1230 (1996).
8. Delp S. L., Anderson F. C., Arnold A. S., Loan P., Habib A., John C. T., Guendelman E., Thelen D. G.: OpenSim: open-source software to create and analyze dynamic simulations of movement biomedical engineering. IEEE Trans. 54, 1940-1950 (2007).
9. Holzbaur K. R. S., Murray W. M., Delp S. L.: A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control. Ann. Biomed. Eng. 33, 829-840 (2005).
10. Ma, L., Chablat, D., Bennis, F., Zhang, W., Guillaume, F.: A new muscle fatigue and recovery model and its ergonomics application in human simulation. In: Proceedings of IDMME-Virtual Concept, pp. 1-10. Beijing, China (2008).
11. Marieb E. N.: Human Anatomy and Physiology. The Benjamin Cummings, California (2005).
12. Maurel, W.: 3D modeling of the human upper limb including the biomechanics of joints, muscles and soft tissues, Ph. D. thesis, Laboratoire d'infographie-Ecole polytechnique fédérale de Lausanne (1999).
13. Moreau G., Fuchs P., Stergiopoulos P.: Applications of virtual reality in the manufacturing industry: from design review to ergonomic studies. Mec. Ind. 5, 171-179 (2004).
14. Murray W. M., Buchanan T. S., Delp S. L.: The isometric functional capacity of muscles that cross the elbow. J. Biomech. 33, 943-952 (2000).
15. Murray W. M., Buchanan T. S., Delp S. L.: Scaling of peak moment arms of elbow muscles with upper extremity bone dimensions. J. Biomech. 35, 19-26 (2002).
16. Olive, J., Thouvenin, I., Lourdeaux, D., Sbaoumi, M.: Formation aux techniques industrielles à l'aide des environnements virtuels. In: Proceedings of AIP-PRIMECA La Plagne, pp. 1-11. La Plagne, France (2007).
17. Pontonnier, C., Dumont, G.: From motion capture to muscles forces in human elbow aiming at improving ergonomics of working stations. In: Proceedings of IDMME-Virtual Concept, pp. 1-10. Beijing, China (2008).
18. Powell, M. J. D.: A fast algorithm for nonliearly constrained optimization calculations, numerical analysis. In: Watson, G. A. (ed.) Lecture Notes in Mathematics, vol. 630. Springer, New York (1978).
19. Powell, M. J. D.: The convergence of variable metric methods for nonlinearly constrained optimization calculations. In: Mangasarian, O. L., Meyer, R. R., Robinson, S. M. (eds.) Nonlinear Programming, vol. 3. Academic Press, New York (1978).
20. Powell, M. J. D.: Variable metric methods for constrained optimization. In: Bachem, A., Grotschel, M., Korte, B. (eds.) Mathematical Programming: The State of the Art, pp. 288-311. Springer, New York (1983).
21. Pronost N., Dumont G.: Dynamics-based analysis and synthesis of human locomotion. Vis. Comput. 23, 513-522 (2007).
22. Schittkowski K.: NLQPL: a FORTRAN-subroutine solving constrained nonlinear programming problems. Ann. Oper. Res. 5, 485-500 (1985).
23. Stoeve S.: Learning combined feedback and feedforward control of musculoskeletal system. Biol. Cybern. 75, 765-776 (2003).
24. Venture, G., Yamane, K., Nakamura, Y.: Identifying musculo-tendon parameters of human body based on the musculo-skeletal dynamics computation and hill-stroeve muscle model. In: 5th IEEE-RAS International Conference on Humanoid Robots, pp. 351-356 (2005).
25. von Konsky, B. R., Zomlefer, M. R.: The sensitivity of upper limb muscle moments to variation in physiological cross-sectional area. In: Proceedings of the 18th Annual International Conference of the IEEE Bridging Disciplines for Biomedicine, vol. 5, pp. 2242-2243 (1996).
26. Yamane. K., Fujita, Y., Nakamura, Y.: Estimation of physically and physiologically valid somatosensory information. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, pp. 2624-2630 (2005).