Eye Movement Classification Using CNN

Abstract

In today’s world eye has significant importance in technological advancements. Eye contact and eye gaze are an important factor for communication. Eye movement has a wide range of applications in various technology. In recent years, eye movement detection is gaining a lot of attention. Our aim is to create an approach that employs deep convolutional neural networks which will run for both eyes in parallel for visual feature extractions. Dataset images for training and validation were obtained from the eye chimera dataset. Testing is done by inputting real-time videos.