• DocumentCode
    426123
  • Title

    Muscle forces prediction of the human hand and forearm system in highly realistic simulation

  • Author

    Chalfoun, J. ; Renault, M. ; Younes, R. ; Ouezdou, F.B.

  • Author_Institution
    Laboratoire d´´lnstrumentation et de Relations Individu/Systeme, CNRS-UVSQ, Velizy, France
  • Volume
    2
  • fYear
    2004
  • fDate
    28 Sept.-2 Oct. 2004
  • Firstpage
    1293
  • Abstract
    This paper deals with development of a highly realistic human hand and forearm model (HHF). The adopted model has to be as close as possible to the reality of the human being hand, to address several features, linked to manipulation tasks, grasping objects and daily routine movements like shaving, writing, etc. Also, in order to be realistic, the simulation of the movement is made in real-time; meaning, at the same rate as the natural HHF movement. In this paper we focus on the muscles forces determination for a given task. A relation between the muscles forces and the joints torques is established. The resulting forces, responsible of a dynamical movement of the HHF, are calculated by using an optimization method. The calculation is made during a real-time simulation. The results are discussed and interpreted on an example simulating a basic movement of the HHF. Limitations and further developments of the model are discussed.
  • Keywords
    control engineering computing; digital simulation; manipulators; muscle; optimisation; forearm model; human hand model; joints torques; muscle forces prediction; real-time simulation; realistic simulation; Anatomy; Biomechanics; Grasping; Humans; Inverse problems; Joints; Muscles; Optimization methods; Predictive models; Tendons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-8463-6
  • Type

    conf

  • DOI
    10.1109/IROS.2004.1389574
  • Filename
    1389574