Using artificial intelligence methods for the studyed visual analyzer
This work addresses medical applications for glaucoma assessment and tourism attention studies, but appears incremental in applying existing AI methods to new datasets.
The paper applied AI techniques to study human visual function using two datasets: one for glaucoma diagnosis via visual field analysis, and another for eye movement tracking in VR tourism videos. Methods were developed for image analysis and mathematical modeling of pupil movements.
The paper describes how various techniques for applying artificial intelligence to the study of human eyes are utilized. The first dataset was collected using computerized perimetry to investigate the visualization of the human visual field and the diagnosis of glaucoma. A method to analyze the image using software tools is proposed. The second dataset was obtained, as part of the implementation of a Russian-Swiss experiment to collect and analyze eye movement data using the Tobii Pro Glasses 3 device on VR video. Eye movements and focus on the recorded route of a virtual journey through the canton of Vaud were investigated. Methods are being developed to investigate the dependencies of eye pupil movements using mathematical modelling. VR-video users can use these studies in medicine to assess the course and deterioration of glaucoma patients and to study the mechanisms of attention to tourist attractions.