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Biological Cybernetics

, Volume 41, Issue 1, pp 33–45 | Cite as

Sensitivity analysis and optimization for a head movement model

  • W. H. Zangemeister
  • S. Lehman
  • L. Stark
Article

Abstract

A sixth order nonlinear model for horizontal head rotations in humans is analyzed using an extended parameter sensitivity analysis and a global optimization algorithm. The sensitivity analysis is used in both the direct sense, as a model fitting tool, and in the indirect sense, as a guide to experimental design. Resolution is defined in terms of the sensitivity table, and is used to interpret the sensitivity results. Using sensitivity analyses, the head and eye movement systems are compared and contrasted. Controller signal parameters are the most influential. Their variations and effects on head movement trajectories and accelerations are investigated, and the conclusions are compared with clinical neurological findings. The global optimization algorithm, in addition to automating the fitting of various types of data, is combined with time optimality theory to give theoretical time-optimal inputs to the model.

Keywords

Sensitivity Analysis Head Movement Movement Trajectory Head Rotation Sixth Order 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1981

Authors and Affiliations

  • W. H. Zangemeister
    • 2
  • S. Lehman
    • 1
  • L. Stark
    • 1
  1. 1.Department of Engineering Science, Physiological Optics and NeurologyUniversity of CaliforniaBerkeleyUSA
  2. 2.Neurologische UniversitätsklinikHamburg 20Federal Republic of Germany

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