• DocumentCode
    3094086
  • Title

    Angular momentum regulation during human walking: biomechanics and control

  • Author

    Popovic, Marko ; Hofmann, Andreas ; Herr, Hugh

  • Author_Institution
    Comput. Sci. & Artificial Intelligence Lab., MIT, Cambridge, MA, USA
  • Volume
    3
  • fYear
    2004
  • fDate
    26 April-1 May 2004
  • Firstpage
    2405
  • Abstract
    Motivated by biomechanical studies on human walking, we present a control strategy for biologically realistic walking based on the principle of spin angular momentum regulation. Using a morphologically realistic human model and kinematic gait data, we compute the total spin angular momentum at a self-selected walking speed for one human test subject. We find that dimensionless spin angular momentum remains small (S1/(mass height velocity) < 0.02) throughout the gait cycle, and maximum whole body angular excursions within sagittal (<1°), coronal (<0.2°), and transverse (<2°) planes are negligible. These data support the hypothesis that spin angular momentum in human walking is highly regulated by the central nervous system, and that there exists a nonlinear coupling between ground reaction force, F~, center of mass position, r~CM , and center of pressure location, r~CP, or F~ = (FZ//ZCM)(r~CM -r~CP). We employ this relationship to rapidly generate biologically realistic CP and CM reference trajectories. Using an open loop optimization strategy, we show that biologically realistic leg joint kinematics emerge through the minimization of spin angular momentum and the total sum of joint torque squared, suggesting that both angular momentum and energetic factors are important considerations for biomimetic controllers.
  • Keywords
    biomechanics; legged locomotion; neurophysiology; open loop systems; optimal control; optimisation; angular momentum regulation; biomechanics; biomimetic controllers; biped locomotion; central nervous system; human walking; open loop optimization strategy; Automatic testing; Biological control systems; Biological system modeling; Biology computing; Biomechanics; Central nervous system; Ground support; Humans; Kinematics; Legged locomotion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-8232-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2004.1307421
  • Filename
    1307421