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Human Body Model Movement Support: Automatic Muscle Control Curves Computation

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Combinatorial Image Analysis (IWCIA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8466))

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Abstract

In this paper we present a novel approach of an automatic computation of muscle control curves. It is based on skeletonization of a triangular surface mesh representing the muscle. Automatically determined control curves are then connected to the skeleton of the human body model so as to govern the deformation of the muscle surface when the skeleton moves. The method, which was implemented in C++ using VTK framework, was integrated into the human body framework being developed at our institution and tested on the walking lower limbs. The results show that the control curves produced by the method have a positive effect on the deformation and, therefore, are preferred to manually defined lines of action that are used as control curves in the human body framework at present.

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References

  1. Arnold, A.S., Salinas, S., Asakawa, D.J., Delp, S.L.: Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity. Computer Aided Surgery 5, 108–119 (2000)

    Article  Google Scholar 

  2. Audenaert, A., Audenaert, E.: Global optimization method for combined spherical-cylindrical wrapping in musculoskeletal upper limb modelling. Computer Methods and Programs in Biomedicine 921, 8–19 (2008)

    Article  Google Scholar 

  3. Delp, S.L., Loan, J.P.: A computational framework for simulation and analysis of human and animal movement. IEEE Computing in Science and Engineering 2(5), 46–55 (2000)

    Article  Google Scholar 

  4. Dong, S., Kircher, S., Garland, M.: Harmonic functions for quadrilateral remeshing of arbitrary manifolds. Comput. Aided Geom. Des. 22(5), 392–423 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  5. Garner, B.A., Pandy, M.G.: The obstacle-set method for representing muscle paths in musculoskeletal models. Computer Methods in Biomechanics and Biomedical Engineering 3(1), 1–30 (2000)

    Article  Google Scholar 

  6. Hájková, J., Kohout, J.: Musculoskeletal system modelling – interpolation method for muscle deformation. In: Proceedings of International Conference on Computer Graphics Theory and Applications (GRAPP 2013), Spain (2013)

    Google Scholar 

  7. van der Helm, F.C., Veenbaas, R.: Modelling the mechanical effect of muscles with large attachment sites: application to the shoulder mechanism. Journal of Biomechanics 24(12), 1151–1163 (1991)

    Article  Google Scholar 

  8. Jensen, R.H., Davy, D.T.: An investigation of muscle lines of action about the hip: A centroid line approach vs. the straight line approach. Journal of Biomechanics 8(2), 103–110 (1975)

    Article  Google Scholar 

  9. Kohout, J., Clapworthy, G.J., Martelli, S., Viceconti, M.: Fast realistic modelling of muscle fibres. In: Csurka, G., Kraus, M., Laramee, R.S., Richard, P., Braz, J. (eds.) VISIGRAPP 2012. CCIS, vol. 359, pp. 33–47. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  10. Kohout, J., Clapworthy, G.J., Zhao, Y., Tao, Y., Gonzales-Garcia, G., Dong, F., Kohoutova, E.: Patient-specific fibre-based models of muscle wrapping. Interface Focus 2013 3(2), 1–8 (2013), doi:10.1098/rsfs.2012.0062

    Google Scholar 

  11. Marsden, S.P., Swailes, D.C.: A novel approach to the prediction of musculotendon paths. Journal of Engineering in Medicine 222(1), 51–61 (2008)

    Article  Google Scholar 

  12. OpenSim project (2010), https://simtk.org/home/opensim

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© 2014 Springer International Publishing Switzerland

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Hájková, J., Kohout, J. (2014). Human Body Model Movement Support: Automatic Muscle Control Curves Computation. In: Barneva, R.P., Brimkov, V.E., Šlapal, J. (eds) Combinatorial Image Analysis. IWCIA 2014. Lecture Notes in Computer Science, vol 8466. Springer, Cham. https://doi.org/10.1007/978-3-319-07148-0_18

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  • DOI: https://doi.org/10.1007/978-3-319-07148-0_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07147-3

  • Online ISBN: 978-3-319-07148-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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