Many Human-Computer-Interaction applications require the information where a person is looking, and what he/she is paying attention to. This information provides communication cues to a multi-modal interface. Such information can be obtained from tracking the orientation of a human head, or gaze.

While current approaches to gaze tracking tend to be highly intrusive -- the subject must either be perfectly still, or wear a special device. This project is to develop a more flexible system using computer vision technology.

We have developed a system, Attentionfinder, that can identify a person's focus of attention based on information of the face orientation. Our system allows a person to freely move in a room while finding his/her attention.
A person's gaze is caught by a software controlled pan-tilt camera. The orientation of the face is then classified by several connectionist modules. The system can provide both binary output and the face orientation from -90 degree to 90 degree.

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KEYWORDS Face Tracking, Eye Tracking, Pose Tracking, Head Orentation

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