Building a lightweight eyetracking headgear

J. Babcock, J. Pelz
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引用次数: 166

Abstract

Eyetracking systems that use video-based cameras to monitor the eye and scene can be made significantly smaller thanks to tiny micro-lens video cameras. Pupil detection algorithms are generally implemented in hardware, allowing for real-time eyetracking. However, it is likely that real-time eyetracking will soon be fully accomplished in software alone. This paper encourages an "open-source" approach to eyetracking by providing practical tips on building a lightweight eyetracker from commercially available micro-lens cameras and other parts. While the headgear described here can be used with any dark-pupil eyetracking controller, it also opens the door to open-source software solutions that could be developed by the eyetracking and image-processing communities. Such systems could be optimized without concern for real-time performance because the systems could be run offline.
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打造一个轻量级的眼球追踪头盔
由于微型微镜头摄像机的出现,使用基于视频的摄像机来监控眼睛和场景的眼球追踪系统可以做得更小。瞳孔检测算法通常在硬件中实现,允许实时眼球跟踪。然而,实时眼球追踪很可能很快就会完全在软件中完成。这篇论文鼓励采用“开源”的方法来进行眼球追踪,提供了一些实用的技巧,可以用市面上可以买到的微镜头相机和其他部件来制造轻量级的眼球追踪器。虽然这里描述的头盔可以与任何暗瞳眼球追踪控制器一起使用,但它也为眼球追踪和图像处理社区开发的开源软件解决方案打开了大门。这样的系统可以在不考虑实时性能的情况下进行优化,因为系统可以离线运行。
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