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Sensitivity coefficients, trajectories and graphs of a human head-movement model
W H Zangemeister1, A C Arlt, S Lehman
1Department of Neurology, University of Hamburg, Germany.
Journal of Biomedical Engineering
|November 1, 1992
Summary
This study analyzed head movement control signals to optimize movement time. Pulse width significantly influences acceleration, magnitude, and duration more than pulse height.
Area of Science:
- Biomechanics
- Robotics
- Control Systems
Background:
- Head movements are complex, involving nonlinear dynamics.
- Optimizing movement time requires understanding control signal variables.
- Previous models lacked detailed analysis of control parameter relationships.
Purpose of the Study:
- To clarify the relationship between control signal variables and head movement behaviors.
- To analyze the influence of pulse width and height on movement characteristics.
- To refine a 6th-order nonlinear head movement model using sensitivity analysis.
Main Methods:
- Mathematical analysis of a 6th-order nonlinear head movement model.
- Sensitivity analysis applied to an improved head movement model.
- Manipulation of control signal variables to observe effects on movement.
Main Results:
- Systematic differences in control signal variables were observed for head movements optimized for time.
- Sensitivity analysis revealed distinct roles for control parameters in relation to the plant.
- The width of agonistic and antagonistic pulses was found to be more dominant than height.
Conclusions:
- Head movement control is significantly influenced by the width of agonist and antagonist pulses.
- Understanding these relationships is crucial for optimizing head movement time and performance.
- The refined model provides insights into the plant-parameter interactions for head movement control.