A non-invasive computer vision system for reliable eye tracking

Authors:
Antonio Haro;Irfan Essa;Myron Flickner
Affiliations:
Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;IBM Almaden Research Center, San Jose, CA
Venue:
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Year:
2000

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Abstract

Knowing what the user is attending to and what they are looking at is essential for creating attentive user interfaces. Towards this end, we are building a reliable, real-time, non-invasive eye tracker using computer vision. Our system can robustly locate and track eyes without any calibration, and estimate the user's focus of attention. We have built several higher-level processes on top of this tracking system and have done some user studies to test the viability of our approach.