Different Eye Movement Patterns on Simulated Visual Field Defects in a Video-watching Task

Changtong Mao, Kentaro Go, Yuichiro Kinoshita, Kenji Kashiwagi, Masahiro Toyoura, Issei Fujishiro, Jianjun Li, Xiaoyang Mao

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

1 Citation (Scopus)

Abstract

Visual field defects (VFD) can be caused by a variety of conditions. Checking and tracking the progression of VFD is an important part of an eye assessment. Although the use of standard automatic perimetry (SAP) is very popular for VFD diagnosis, it limits the population because of its high requirement for patients. We used a video-watching task as a replacement modality, which precludes the long period of fixation and uses the on-screen gaze to replace the button response. We developed a simulation system to mimic the different types of VFD in people with a normal pattern.We hypothesize that patients with VFD need more eye movement to compensate for the unseen area. We proposed a metric that indicates the gross eye movements toward a specific direction and found a significant difference between the VFD and normal pattern. Furthermore, we found videos that show the unique eye movement pattern in different eye conditions.

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.
Pages153-156
Number of pages4
ISBN (Electronic)9781728164977
DOIs
Publication statusPublished - 2020 Sept
Event19th International Conference on Cyberworlds, CW 2020 - Virtual, Caen, France
Duration: 2020 Sept 292020 Oct 1

Publication series

NameProceedings - 2020 International Conference on Cyberworlds, CW 2020

Conference

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

Keywords

  • Eye Tracking
  • Perimetry
  • Visual Field Defect

ASJC Scopus subject areas

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

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