Automated Non-Supervised Eye Disorder Screening System Using Virtual Reality.

BACKGROUND

Neglecting eye disorders can lead to visual impairment or even vision loss, making early diagnosis and medical treatment crucial. This paper presents the development of an automated non-supervised eye disorder screening system that utilises Virtual Reality (VR) to provide a preliminary screening for common eye disorders.

METHODS

The system integrates advanced pupil-tracking techniques, image-processing methods, and eye disorder screening algorithms into one package for comprehensive eye disorder monitoring, including a strabismus test, a pupil test, and a contrast sensitivity test. Patients can wear a VR headset and use a joystick to interact with the VR scenario.

RESULTS

The system is validated through experiments conducted on both healthy subjects and patients in hospitals, demonstrating an agreement rate exceeding 90% when compared to diagnoses by doctors.

CONCLUSIONS

The test results highlight its potential for real-world applications, ultimately improving the accessibility of early screening for eye disorders and remote healthcare.