• DocumentCode
    575173
  • Title

    Simulation of human walking with powered orthosis for keeping balance of upper body

  • Author

    Uchiyama, Yoshiho ; Obinata, Goro ; Nagai, Chikara ; Kim, Youngwoo

  • Author_Institution
    Grad. Sch. of Eng., Nagoya Univ., Nagoya, Japan
  • fYear
    2012
  • fDate
    20-23 Aug. 2012
  • Firstpage
    1953
  • Lastpage
    1955
  • Abstract
    To design a powered assistive orthosis for human walking, we have simulated walking motion with an orthosis. The model dynamics of the coupled human-orthosis is represented by a 10-rigid-link system. In this model there exist rotational joints at lumbar, both thighs and both legs, and these joints are controlled by the system which imitates neuronal system in spinal cord of mammals. The CPG controller consists of 14 oscillators which have the sensory feedbacks and generates the joint torques to move the skeletal model of human. The parameters of the oscillators and the connecting gains in the network are optimized by using a genetic algorithm. We have achieved the successful simulation of stable walking against disturbances with this model. It is shown that the simulation results are useful for the design of assistive orthosis of walking.
  • Keywords
    digital simulation; gait analysis; genetic algorithms; medical control systems; neurophysiology; orthotics; oscillators; robust control; torque; CPG controller; coupled human-orthosis; genetic algorithm; human skeletal model; human walking simulation; joint torques; legs; lumbar; mammal spinal cord; neuronal system; oscillators; powered assistive orthosis; rigid-link system; rotational joints; sensory feedbacks; thighs; upper body balance; walking motion; Actuators; Educational institutions; Humans; Joints; Legged locomotion; Oscillators; Robustness; Assistive device; Central pattern generator; Powered Orthosis; Robust control; Walking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference (SICE), 2012 Proceedings of
  • Conference_Location
    Akita
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-2259-1
  • Type

    conf

  • Filename
    6318331