• DocumentCode
    2681376
  • Title

    Human walking model predicts joint mechanics, electromyography and mechanical economy

  • Author

    Endo, Ken ; Herr, Hugh

  • Author_Institution
    Biomechatronics Group, Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    4663
  • Lastpage
    4668
  • Abstract
    In this paper, we present an under-actuated model of human walking, comprising only a soleus muscle and flexion/extension monoarticular hip muscles. The remaining muscle groups of the human leg are modeled using quasi-passive, series-elastic clutch elements. We hypothesize that series-elastic clutch units spanning the knee joint in a musculoskeletal arrangement can capture the dominant mechanical behaviors of the human knee in level-ground walking. As an evaluation of the musculoskeletal model, we vary model parameters, or spring constants, and muscle control parameters using an optimization scheme that maximizes walking distance and minimizes the mechanical economy of walking. We used a positive force feedback reflex control for the model´s soleus muscle, and upper body position control for the hip muscles. The model´s clutches were engaged/disengaged using simple state machine controllers. For model evaluation, a forward dynamics simulation was conducted, and the resulting mechanics were compared to human walking data. The model makes qualitative predictions of joint mechanics, electromyography and mechanical economy.
  • Keywords
    biomechanics; electromyography; force control; force feedback; prosthetics; electromyography; flexion/extension monoarticular hip muscles; forward dynamics simulation; human knee; human walking model; joint mechanics; level-ground walking; mechanical behaviors; mechanical economy; muscle control parameters; musculoskeletal arrangement; musculoskeletal model; positive force feedback reflex control; series-elastic clutch elements; soleus muscle; under-actuated model; Biological system modeling; Electromyography; Hip; Humans; Knee; Leg; Legged locomotion; Muscles; Musculoskeletal system; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354230
  • Filename
    5354230