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.
|Title of host publication||2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015)|
|Place of Publication||Piscataway, NJ|
|ISBN (Electronic)||9781479986972, 9781479986965|
|Publication status||Published - 2016|
CitationChen, 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.
- Eye tracking
- Gaze data