<p>A digital infrared oculograph was developed to record eye movements. Miniature cameras with a frame rate of 500 Hz and a high spatial resolution of 1440 × 1080 px, mounted on spectacle frames, were used. A technique for analysis of oculograms was developed and an algorithm for detecting the temporal characteristics of saccades and gaze fixations was developed. The oculogram analysis algorithm was coordinated with measurements of other physiological parameters. Discriminant analysis was used for statistical processing and evaluation of the effectiveness of the algorithm. The technology was tested in a study of eye movements in 500 subjects. The duration and speed of eye movements were measured in 16 experiments. Oculograms were analyzed and datasets corresponding to fixations and saccades were obtained. An algorithm for automatically searching for these parameters was developed. A description of the coordinates of the receiving matrixes of the video cameras and displays on which the stimuli were presented was coordinated for the spectacle-based oculograph. An algorithm for detecting the main temporal and spatial characteristics classifies saccades and gaze fixations (between saccades) during target searches by the operator in different conditions. The system corrects for coordinate systems when the monitor and video camera origins mismatch and takes account of the offset and rotation of the video camera coordinate system relative to the monitor coordinate system. The algorithm is shown to yield reliable results for subsequent analysis and interpretation of gaze movements with a recognition level of 0.97. The algorithm is included in the Neurobureau hardware and software system, which is in demand in management structures, industry, transport, marketing, and medicine. The device is coordinated with other devices for physiological monitoring of cognitive functions during research, monitoring, and correction of operator actions during target searches.</p>