The small eye movements in the process of fixation on an image element give
us knowledge about the human visual information perception. An indepth
analysis of these movements can reveal the influence of personality, mood
and mental state of the examined subject on the process of perception. The
modern eye tracking technology provides us with the necessary technical
means to study these movements. Nevertheless, still a lot of problems
remains open. In the present paper two approaches for noise cancellation in
the eye-tracker signal and two approaches for microsaccade detection are
proposed. The analysis of the obtained results can be a good starting point
for interpretation by neurobiologists about the causes of different types of
movement and their dependence on the individuality of the observed person
and the specific mental and physical condition.
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