• DocumentCode
    2493110
  • Title

    Research on hand grasping strategy for ergonomics simulation

  • Author

    Lu, Zhiguo ; Li, Yan ; He, Hangen

  • Author_Institution
    Sch. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    6217
  • Lastpage
    6220
  • Abstract
    Study on grasping strategy of dexterous hand can contribute to realization of realistically interactive simulation between human and machines. This paper introduced a new method which combined grasping plan with posture prediction to realize grasping strategy for ergonomics simulation. Based on classifying hand gestures, a new method of modeling virtual prototype was presented, which embedded interactive operation features into the prototype model. This paper also presented a method of GA-based grasping posture prediction which maximized human posture comfort level. Simulation results on Jack platform indicates this method can effectively predict hand grasping gesture and improve the verisimilitude of simulation.
  • Keywords
    human computer interaction; pattern classification; GA; dexterous hand; ergonomics simulation; grasping plan; grasping posture prediction; hand gesture classification; hand grasping gesture; human posture comfort level; posture prediction; Automation; Ergonomics; Genetic algorithms; Grasping; Humans; Intelligent control; Lifting equipment; Mechatronics; Predictive models; Virtual prototyping; discomfort level; genetic algorithm; grasp; posture prediction; virtual hand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593864
  • Filename
    4593864