Abstract
Strabismus is one of the most common vision disorders in preschool children. It can cause amblyopia and even permanent vision loss. In addition to a vision problem, strabismus brings to both children and adults serious negative impacts in their daily life, education, employment etc. Timely diagnosis of strabismus is thus crucial. However, traditional diagnosis methods conducted by ophthalmologists rely significantly on their experiences, making the diagnosis results subjective. It is also inconvenient for those methods being used for strabismus examination in large communities such as schools. In light of that, in this Letter, the authors develop an objective, digital and automatic system based on eye-tracking technique for diagnosing strabismus. The system exploits eye-tracking technique to acquire a person's eye gaze data while he or she is looking at some targets. A group of features are proposed to characterise the gaze data. The person's strabismus condition can be diagnosed according to the features. A strabismus gaze dataset is built using the system. Experimental results on the dataset demonstrate the effectiveness of the proposed system for strabismus diagnosis.
Highlights
Strabismus, termed squint and heterotropia as well, is that the two eyes do not point to the same direction
We propose and develop a digital strabismus diagnosis system based on eye-tracking technique in this Letter
In this Letter, we propose and develop an intelligent digital system based on eye-tracking technique for objective and automatic strabismus diagnosis
Summary
Strabismus, termed squint and heterotropia as well, is that the two eyes do not point to the same direction. It is a common ophthalmic disorder with a prevalence of around 4% of the adult population [1]. If strabismus is not well treated, it would result in amblyopia or weak three-dimensional (3D) perception [2]. In addition to a vision problem, strabismus has been shown to have adverse psychosocial consequences in both children and adults [3]. Their strabismus problems could be well treated or significantly alleviated if diagnosis and treatment are taken early.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.