Eye-tracking aided digital system for strabismus diagnosis

Zenghai CHEN, Hong FU, Wai-Lun LO, Zheru CHI

Research output: Chapter in Book/Report/Conference proceedingChapters

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. Copyright © 2015 IEEE.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages2305-2309
ISBN (Electronic)9781479986972, 9781479986965
ISBN (Print)9781479986989
DOIs
Publication statusPublished - 2016

Citation

Chen, Z., Fu, H., Lo, W.-L., & Chi, Z. (2016). Eye-tracking aided digital system for strabismus diagnosis. In 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015) (pp. 2305-2309). Piscataway, NJ: IEEE.

Keywords

  • Strabismus
  • Eye tracking
  • Amblyopia
  • Gaze data

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