Active gaze tracking for human-robot interaction

Rowel Atienza, A. Zelinsky
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引用次数: 39

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.
人机交互的主动注视跟踪
在我们努力使人机界面更加友好的过程中,我们建立了一个主动注视跟踪系统,可以实时测量人的注视方向。凝视通常能告诉我们一个人对周围的哪个物体感兴趣。因此,它可以作为人机交互的媒介,比如指示机器人手臂选择用户正在看的某个物体。我们讨论了我们如何开发和整合变焦相机校准算法,主动头部,面部和凝视跟踪的低级控制,以创建一个主动凝视跟踪系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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