Automatic Cursor Movement with Eye Gaze Tracking

Most of the eye tracking devices is based on computer vision imaging systems. This paper presents a complete system for eye tracking through avoiding the restrictions that are caused due to the head movements. The Viola-Jones algorithm, in combination with Kalman Filtering, is utilized for detecting and tracking the face. The Viola Jones-based eye tracker that is employed here offers eye tracking with high speed and accuracy, irrespective of the resolution change. Testing of the algorithm in MATLAB demonstrates the supremacy of the proposed eye gaze tracking approach in controlling the mouse pointer.