A digital infrared oculograph has been created to record eye movements. Miniature cameras with a frame rate of 500 Hz
and a high spatial resolution of 1440 × 1080 px, located on spectacle frames, have been used. A technology for analyzing
oculograms and algorithm for detecting the temporal characteristics of saccades and gaze fixations has been developed.
The oculogram analysis algorithm has been matched with measurements of other physiological parameters. Discriminant
analysis has been used for statistical processing and evaluation of the effectiveness of the developed algorithm. The
technology has been tested based on a study of eye movements in 500 subjects. The duration and speed of eye movements
have been measured in 16 experiments. Oculograms have been analyzed and sets corresponding to fixations and saccades
have been obtained. An algorithm for automatic search for these parameters has been developed. The description of
coordinates of the receiving matrices of video cameras and displays on which stimuli were presented has been matched for
the spectacle-type oculograph. The algorithm for detecting the main temporal and spatial characteristics provides
classification of saccades and gaze fixations (between saccades) when searching for a target by an operator in different
conditions. Correction of coordinate systems is provided when the monitor and video camera reference points do not
match, accounting for the offset and rotation of the video camera coordinate system relative to the monitor coordinate
system is introduced. It is shown that the algorithm provides reliable results for subsequent analysis and
interpretation of gaze movements with a recognition level of 0.97. The implemented algorithm is included in the
Neurobureau hardware and software complex, which is in demand in management structures, in industry, transport,
marketing and medicine, coordinated with other devices for physiological control of cognitive functions directly during
the study, control and correction of operator actions when searching for a target.
Key words:
vision, visual search, eye movements, fixations, saccades, optical oculometry, oculogram analysis, saccade detection,
fixation selection
DOI: 10.7868/S3034593625040081
Cite:
Shelepin E. Yu., Skuratova K. A., Lekhnitskaya P. A., Shelepin K. Yu.
Realizatsiya i aprobatsiya algoritma avtomaticheskoi obrabotki dannykh dlya tsifrovogo okulografa
[Implementation and testing of an automatic data processing algorithm for a digital oculograph].
Sensornye sistemy [Sensory systems].
2025.
V. 39(4).
P. 99–108 (in Russian). doi: 10.7868/S3034593625040081
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