Human eye tracking as a sequential input adaptive process

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Abstract
Sequential input adaptive system theory is applied to human eye tracking of targets with one-dimensional dimensional motion defined by sine functions, sums of sine functions and triangle functions. The sequential theory describes the mean eye tracking movements of two subjects for these inputs. The theory is predictive for irregular inputs in that when its parameters for a subject are identified and adjusted for a reference input, it then predicts mean eye tracking behavior for that subject for inputs of comparable complexity.