Kalman Filtering in the Design of Eye-Gaze-Guided Computer Interfaces

Abstract. In this paper, we design an Attention Focus Kalman Filter (AFKF) a framework that offers interaction capabilities by constructing an eyemovement language, provides real-time perceptual compression through Human Visual System (HVS) modeling, and improves system’s reliability. These goals are achieved by an AFKF through identification of basic eyemovement types in real-time, the prediction of a user’s perceptual attention focus, and the use of the eye’s visual sensitivity function and eye-position data signal de-noising.

• Type: Conference
• Year: 2007
• Where: HCI
• Authors: Oleg Komogortsev, Javed I. Khan
• Keywords: Attention Focus, Attention Focus Kalman, HCI 2007, Human Computer Interaction, Real-time Perceptual Compression