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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2020 International Conference on Cyberworlds, CW 2020
編集者Alexei Sourin, Christophe Charier, Christophe Rosenberger, Olga Sourina
出版社Institute of Electrical and Electronics Engineers Inc.
ページ141-144
ページ数4
ISBN(電子版)9781728164977
DOI
出版ステータスPublished - 2020 9
イベント19th International Conference on Cyberworlds, CW 2020 - Virtual, Caen, France
継続期間: 2020 9 292020 10 1

出版物シリーズ

名前Proceedings - 2020 International Conference on Cyberworlds, CW 2020

Conference

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

ASJC Scopus subject areas

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

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