• DocumentCode
    2905605
  • Title

    Analysis of human gait using an Inverted Pendulum Model

  • Author

    Tang, Zhe ; Er, Meng Joo ; Chien, C.-J.

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    1174
  • Lastpage
    1178
  • Abstract
    IPM(Inverted Pendulum Model) has been widely used for modeling of human motion gaits. There is a common condition in most of these models, the reaction force between the floor and the humanoid must go through the CoG (Center of Gravity) of the a humanoid or human being. However, the recent bio-mechanical studies show that there are angular moments around the CoG of a human being during human motion. In other words, the reaction force does not necessarily pass through the CoG. In this paper, the motion of IPM is analyzed by taking into consideration two kinds of rotational moments, namely around the pivot and around the CoG. The human motion has been decomposed into the sagittal plane and front plane in the double support phase and single support phase. The motions of the IPM in these four different phases are derived by solving four differential equations with boundary conditions. Simulation results show that a stable human gait is synthesized by using our proposed IPM.
  • Keywords
    differential equations; gait analysis; humanoid robots; mobile robots; pendulums; robot kinematics; angular moment; biomechanics; boundary condition; differential equation; double support phase; front plane; human motion gait analysis; humanoid robot; inverted pendulum model; rotational moment; sagittal plane; single support phase; Boundary conditions; Differential equations; Erbium; Gravity; Humanoid robots; Humans; Legged locomotion; Motion analysis; Robot kinematics; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630519
  • Filename
    4630519