Diagnosis Oculomotor Dysfunction with Eye Tracking Technology
Abstract
We proposes a computer aided diagnosis system(CADx) for tracking and analyzing the movement of the eye ,which has many applications in medicine including diagnosis of oculomotor dysfunction. this process should be done in an environment with proper lighting with a laptop and a webcam. The architecture of the proposed system consists of two phases. In the first phase, pupil of the eye is tracked and its position is saved into a database. in the second phase prediction the oculomotor dysfunction. is done by The neural network which is trained based on 112 data which includes 57 patient with normal condition and 55 patient with oculomotor dysfunction. Also 100 data have been used to evaluate the precision of the system. Precision in diagnosis of the tested samples as if they are healthy or unhealthy is evaluated as 84%. proposed system can be used as a supplement of physician’s suggestion to improve the diagnosis in clinical environment.
Keywords
eye tracking; image processing technology; iris detection; oculomotor dysfunction; neural network; diagnose with computer