Open AccessEye movement analysis in simple visual tasks
Author(s) -
Kiril Alexiev,
T Teodorvakarelsky
Publication year - 2022
Publication title -
computer science and information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.244
H-Index - 24
eISSN - 2406-1018
pISSN - 1820-0214
DOI - 10.2298/csis210418065a
Subject(s) - computer science , eye movement , eye tracking , fixation (population genetics) , perception , computer vision , process (computing) , artificial intelligence , mood , mental image , human–computer interaction , cognitive psychology , cognition , psychology , population , demography , neuroscience , sociology , psychiatry , operating system
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.