English

Using artificial intelligence methods for the studyed visual analyzer

Human-Computer Interaction 2024-05-01 v1 Artificial Intelligence

Abstract

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.

Keywords

Cite

@article{arxiv.2404.18943,
  title  = {Using artificial intelligence methods for the studyed visual analyzer},
  author = {A. I. Medvedeva and M. V. Kholod},
  journal= {arXiv preprint arXiv:2404.18943},
  year   = {2024}
}

Comments

in Rusian language

R2 v1 2026-06-28T16:10:12.770Z