Transactions on Control, Automation and Systems Engineering

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Human Arm Posture Control Using the Impedance Controllability of the Musculo-Skeletal System Against the Alteration of the Environments

  • Published : 2002.03.01
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Abstract

We show that humans execute the postural control ingeniously by regulating the impedance properties of the musculo-skeletal system as the motor command against the alteration of the environment. Adjusting muscle activity can control the impedance properties of the musculo-skeletal system. To quantify the changes in human arm viscoelasticity on the vertical plane during interaction with the environment, we asked our subject to hold an object. By utilizing surface electromyographic(EMG) studies, we determined a relationship between the perturbation and a time-varying muscle co-activation. Our study showed when the subject lifts the object by himself the muscle stiffness increases while the torque remains the same just before the lift-off. These results suggest that the central nervous system(CNS) simultaneously controls not only the equilibrium point(EP) and the torque, but also the muscle stiffness as themotor command in posture control during the contact task.

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References

  1. J. Neuroscience v.18 Task-dependent viscoelasticity of human multijoint arm and its spatial characteristics for interaction with environments H. Gomi;R. Osu
  2. Curr. Opin. Neurobiol. v.9 Internal models for motor control and trajectory planning M. Kawato https://doi.org/10.1016/S0959-4388(99)00028-8
  3. J. Neuroscience v.4 Posture control and trajectory formation during arm movement E. Bizzi;N. Accornero;W. Chapple;N. Hogan
  4. The American Physiological Society Multijoint muscle regulation mechanisms examined by measured human arm stiffness and EMG signals Rieko Osu;Hiroaki Gomi
  5. J. Neurosci. v.4 Posture control and trajectory formation during arm movement Bizzi, E.;Acornero, N.;Chapple, W.;Hogan, N.
  6. Journal of Motor Behavior v.25 Control of trajectory modifications in target-directed reaching Flanagan, J. R.;Feldman, A. G.;Ostry, D. J. https://doi.org/10.1080/00222895.1993.9942045
  7. Are complex signals required for human arm movements Paul L. Gribble;David J. Ostry;V. Sanguineti;R. Laboissere
  8. Biol. Cybern. v.61 Formation and control of optimal trajectory in human multijoint arm movement? Minimum torque-change model Uno,Y.;Kawato, M.;Suzuki, R.
  9. Science v.272 Equilibrium point hypothesis examined by measured arm stiffness during multi-joint movement Gomi H.;Kawato M. https://doi.org/10.1126/science.272.5258.117
  10. Muscles alive Basmajian J. V.;De Luca CJ
  11. IEICE Trans Fundamentals D2 v.4 Estimation of arm posture in 3D-space from surface EMG signals using a neural network model Y. Koike;M. Kawato
  12. Biol. Cybern. v.73 Estimation of dynamic joint torques and trajectory formation from surface electromy-ography signals using a neural network model Y. Koike;M. Kawato https://doi.org/10.1007/BF00199465
  13. Multi-joint muscle regulation mechanisms examined by measured human arm stiffness and EMG signals Rieko Osu;Hiroaki Gomi
  14. The Journal of Neuroscience v.19 Composition and decomposition of internal models in motor learning under altered kinematic and dynamic environments J.R. Flanagan;E. Nakano;H. Imamizu;R. Osu;T. Yoshioka;M. Kawato