Perceptual user interfaces using vision-based eye tracking

We present a multi-camera vision-based eye tracking method to robustly locate and track user’s eyes as they interact with an application. We propose enhancements to various visionbased eye-tracking approaches, which include (a) the use of multiple cameras to estimate head pose and increase coverage of the sensors and (b) the use of probabilistic measures incorporating Fisher’s linear discriminant to robustly track the eyes under varying lighting conditions in real-time. We present experiments and quantitative results to demonstrate the robustness of our eye tracking in two application prototypes. Categories and Subject Descriptors I.4.m [Image Processing and Computer Vision]: Miscellaneous; I.4.0 [Image Processing and Computer Vision]: General—Image Processing Software ; G.3 [Probability and Statistics]: Probabilistic algorithms General Terms Algorithms, Human Factors, Design Keywords Eye Tracking, Multiple Cameras, Fisher’s Discriminant Analysis, Computer Vision, Human Comput...

• Type: Conference
• Year: 2003
• Where: ICMI
• Authors: Ravikrishna Ruddarraju, Antonio Haro, Kris Nagel, Quan T. Tran, Irfan A. Essa, Gregory D. Abowd, Elizabeth D. Mynatt
• Keywords: Computer Vision, Eye Tracking, Eye Tracking Method, ICMI 2003