Eye-Tracking Aided Digital System for Strabismus Diagnosis

Zenghai Chen, Hong Fu, Wai Lun Lo, Zheru Chi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)

Abstract

Strabismus is a common ophthalmic disease with a relatively high prevalence (4%). It is one of the most common vision disorders in preschool children. If it is not timely diagnosed and well treated, strabismus would cause amblyopia, and even permanent vision loss. The diagnosis is thus essential. However, most of the diagnosis methods, such as cover testing, are conducted manually by an ophthalmologist. The examination cost is relatively high and the results are subjective. In this paper, we propose an eye tracking method for strabismus diagnosis. This method allows us to develop an objective and automatic strabismus diagnosis system that could significantly increase the examination efficiency and reduce the cost. Experimental results demonstrate the effectiveness of the proposed eye tracking method for strabismus diagnosis.
Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
PublisherIEEE
Pages2305-2309
Number of pages5
ISBN (Electronic)9781479986965
DOIs
Publication statusPublished - 12 Jan 2016
EventIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - City University of Hong Kong, Kowloon Tong, Hong Kong
Duration: 9 Oct 201512 Oct 2015

Conference

ConferenceIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
Country/TerritoryHong Kong
CityKowloon Tong
Period9/10/1512/10/15

Keywords

  • amblyopia
  • eye tracking
  • gaze data
  • strabismus

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Information Systems and Management
  • Control and Systems Engineering

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