• DocumentCode
    2763636
  • Title

    Optimal Trajectories of Snatch Weightlifting for Two Different Weight Classes by using Genetic Algorithm

  • Author

    Lenjannejadian, Sh. ; Rostami, M.

  • Author_Institution
    Fac. of Biomed. Eng., Amirkabir Univ. of Technol., Tehran
  • fYear
    2008
  • fDate
    18-20 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Simulating the snatch weightlifting technique by means of dynamic formulation and optimizing this movement using Genetic Algorithm is the main purpose of this study. Snatch weightlifter is modeled by an open kinematic chain. The problem is defined as the optimization of the movement of this model from the first position to the predefined second position while considering the specific optimum criterion like minimizing the muscular effort. The results for two different weight class are represented in the forms of kinematic and kinetic data like trajectory of barbell and actuating joint torques. Because of some similarities between the results and experimental observations by other researches we conclude that our method can be able to model the real situation. This model can be used to optimize the performance of the weightlifters and it could give us some useful advice about the most effective technique.
  • Keywords
    biomechanics; genetic algorithms; sport; actuating joint torque; barbell; genetic algorithm; muscular effort minimisation; open kinematic chain; optimal trajectories; snatch weightlifting technique; Biomechanics; Biomedical engineering; Differential equations; Energy consumption; Genetic algorithms; Kinematics; Kinetic theory; Optimal control; Performance analysis; Solid modeling; Sport biomechanics; optimization; weightlifting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Conference, 2008. CIBEC 2008. Cairo International
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-2694-2
  • Electronic_ISBN
    978-1-4244-2695-9
  • Type

    conf

  • DOI
    10.1109/CIBEC.2008.4786091
  • Filename
    4786091