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 language | English |
|---|---|
| Title of host publication | Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 |
| Publisher | IEEE |
| Pages | 2305-2309 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479986965 |
| DOIs | |
| Publication status | Published - 12 Jan 2016 |
| Event | IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - City University of Hong Kong, Kowloon Tong, Hong Kong Duration: 9 Oct 2015 → 12 Oct 2015 |
Conference
| Conference | IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 |
|---|---|
| Country/Territory | Hong Kong |
| City | Kowloon Tong |
| Period | 9/10/15 → 12/10/15 |
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