Artificial Life and Robotics

, Volume 6, Issue 4, pp 205–209 | Cite as

An optimal control model of a neuromuscular system in human arm movements and its control characteristics

  • Tadashi Kashima
  • Yoshihisa Isurugi
  • Masasuke Shima
Original Article

Abstract

The joint torque which sets human limbs into motion is generated by a separate group of muscles provided for each joint. As the activation of each muscle is determined by a neural input, a neuromuscular system controlling all muscles has to be considered in order to understand human movements. In this study, an optimal control model of a neuromuscular system is investigated, and its control characteristics are examined. First, the dynamic and mechanical properties of a muscle are examined, and a neuromuscular system is formulated mathematically. Second, a performance criterion for the optimal control model is defined in order to characterize the dynamic behavior of the neuromuscular system, and a mathematical procedure for producing optimal trajectories is represented. Third, optimal trajectories in human arm movements are produced under various conditions of movement, and these trajectories are compared with experimentally observed ones. It is then verified that the optimal trajectories demonstrate human arm movements well. Finally, the behavior of individual muscles in various movements is examined quantitatively by means of simulation results, and the control characteristics of the human neuromuscular system are investigated.

Key words

Neuromuscular system Human arm movement Optimal trajectory 

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References

  1. 1.
    Kashima T, Isurugi Y (1995). Trajectory formation in human arm movements (in Japanese). Trans SICE 31: 1416–1422Google Scholar
  2. 2.
    Uno Y, Kawato M, Suzuki R (1989) Formation and control of optimal trajectory in human multi-joint arm movement. Biol Cybern 61: 89–101CrossRefGoogle Scholar
  3. 3.
    Alexander R (1997) A minimum energy-cost hypothesis for human arm trajectories. Biol Cybern 76: 97–105.MATHCrossRefGoogle Scholar
  4. 4.
    Kashima T, Isurugi Y (1998) Human arm trajectory formation (in Japanese) Trans SICE 34:1440–1447Google Scholar
  5. 5.
    Kashima T, Isurugi Y (1997) Trajectory formation based on physiological characteristics of skeletal muscles. Biol Cybern 78:413–422CrossRefGoogle Scholar
  6. 6.
    Kashima T, Isurugi Y, Shima M (2000) Analysis of a muscular control system in human movements. Biol Cybern 82: 123–131MATHCrossRefGoogle Scholar
  7. 7.
    Hannaford B (1990) A nonlinear model of the phasic dynamics of muscle activation. IEEE Trans Biomed Eng 37: 1067–1075CrossRefGoogle Scholar
  8. 8.
    US Department of Commerce NTIS (1975) Investigation of inertial properties of the human body. AD-A016 485: 72–80Google Scholar
  9. 9.
    Winters JM, Stark L (1985) Analysis of fundamental human movement patterns through the use of in-depth antagonistic muscle models. IEEE Trans Biomed Eng 32: 826–839Google Scholar
  10. 10.
    Abend W, Bizzi E, Morasso P (1982) Human arm trajectory formation. Brain 105: 331–348Google Scholar
  11. 11.
    Atkeson C, Hollerbach J (1985) Kinematic features of unrestrained vertical arm movements. J Neurosci 5: 2318–2330Google Scholar
  12. 12.
    Flash T, Hogan N (1985) The coordination of arm movements: an experimentally confirmed mathematical model. J Neurosci 5:1688–1703.Google Scholar

Copyright information

© ISAROB 2002

Authors and Affiliations

  • Tadashi Kashima
    • 1
  • Yoshihisa Isurugi
    • 2
  • Masasuke Shima
    • 2
  1. 1.Kobe City College of TechnologyKobeJapan
  2. 2.Division of Systems and Information EngineeringHokkaido UniversityHokkaidoJapan

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