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Active gaze tracking for human-robot interaction

Rowel Atienza, Alexander Zelinsky

Year
2003
Citations
32

Abstract

In our effort to make human-robot interfaces more user-friendly, we built an active gaze tracking system that can measure a person's gaze direction in real-time. Gaze normally tells which object in his/her surrounding a person is interested in. Therefore, it can be used as a medium for human-robot interaction like instructing a robot arm to pick a certain object a user is looking at. We discuss how we developed and put together algorithms for zoom camera calibration, low-level control of active head, face and gaze tracking to create an active gaze tracking system.

Keywords

GazeComputer visionComputer scienceArtificial intelligenceRobotTracking (education)Object (grammar)Human–robot interactionZoomTracking system

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