Using an Eye Tracking Device to Discriminate Different Symptoms in Glaucoma

Lina Chen, Kentaro Go, Yuichiro Kinoshita, Kenji Kashiwagi, Masahiro Toyoura, Issei Fujishiro, Xiaoyang Mao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Worldwide, 79.6 million people experience glaucoma, which can cause visual field loss to the individuals. Visual field examination plays an important role in the detection of glaucoma. However, current visual field examination approaches have disadvantages, such as requirements for expensive equipment, long testing time, location restrictions, and more. In the present study, we propose an assessment based on saccadic reaction time (SRT) to overcome the issues in the existing approaches. To confirm the effectiveness of our method, we simulated different stages of glaucoma using a visual field defect simulation system. The result of the visual experiment showed that the discrimination method using SRT can distinguish different symptoms with less testing time.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Cyberworlds, CW 2020
EditorsAlexei Sourin, Christophe Charier, Christophe Rosenberger, Olga Sourina
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages141-144
Number of pages4
ISBN (Electronic)9781728164977
DOIs
Publication statusPublished - 2020 Sep
Event19th International Conference on Cyberworlds, CW 2020 - Virtual, Caen, France
Duration: 2020 Sep 292020 Oct 1

Publication series

NameProceedings - 2020 International Conference on Cyberworlds, CW 2020

Conference

Conference19th International Conference on Cyberworlds, CW 2020
CountryFrance
CityVirtual, Caen
Period20/9/2920/10/1

Keywords

  • eye tracking
  • glaucoma
  • saccade eye movement
  • visual field

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Modelling and Simulation

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