Sensitivity functions of a human head movement model.

With time as the criterion to be optimized, the divergences from optimal head movements show systematic differences of their control signal variables with respect to single behaviours. To clarify these relationships, this study uses manipulation and mathematical analysis of the 6th order nonlinear head movement model, i.e. the threefold approach of sensitivity analysis. In addition to sensitivity coefficients, graphs and trajectories sensitivity functions have been analysed. This is the sensitivity of a nominal head movement to changes of the model parameters during the time course of the movement. This demonstrated both the specific change of the visco-inertial properties of the head movement model during the movement and also the potential pathological deficits that may occur.