Hiley Jonathan B, Redekopp Andrew H, Fazel-Rezai Reza
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, MB, Canada.
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:3226-9. doi: 10.1109/IEMBS.2006.260774.
This paper describes the implementation of a human computer interface based on eye tracking. Current commercially available systems exist, but have limited use due mainly to their large cost. The system described in this paper was designed to be a low cost and unobtrusive. The technique was video-oculography assisted by corneal reflections. An off-the shelf CCD webcam was used to capture images. The images were analyzed in software to extract key features of the eye. The users gaze point was then calculated based on the relative position of these features. The system is capable of calculating eye-gaze in real-time to provide a responsive interaction. A throughput of eight gaze points per second was achieved. The accuracy of the fixations based on the calculated eye-gazes were within 1 cm of the on-screen gaze location. By developing a low-cost system, this technology is made accessible to a wider range of applications.
本文描述了一种基于眼动追踪的人机界面的实现。目前市面上已有商用系统,但主要因其成本高昂而使用受限。本文所描述的系统旨在设计成低成本且不引人注意的。该技术是通过角膜反射辅助的视频眼动描记法。使用现成的CCD网络摄像头来捕捉图像。在软件中对图像进行分析以提取眼睛的关键特征。然后根据这些特征的相对位置计算用户的注视点。该系统能够实时计算眼睛注视方向以提供响应式交互。实现了每秒八个注视点的吞吐量。基于计算出的眼睛注视方向的注视准确性在屏幕上注视位置的1厘米范围内。通过开发低成本系统,这项技术可应用于更广泛的领域。