Real Time Eye Blinking Detection Using Local Ternary Pattern and SVM

J. Ryu, H. Yang, Yongho Seo
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引用次数: 7

Abstract

As smart devices become popular among people, there are many demands for handling these devices. Smart devices are different from desktop and laptop in that the smart devices cannot be used with user interface peripherals such as mouse and keyboard due to the nature of itself, portability. So here is our proposal, eye blinking detection algorithm for interacting with smart devices. This algorithm that we are going to suggest can replace the most important functions of mouse, "clicking". This is possible because "Mouse Clicking" can be easily replaced by "Eye Blinking". We focus on the fast detection algorithm for the real time performance. Current existing studies of eye blinking detection have not concerned about the detection speed while they have quite clear detection accuracy. In this paper, our algorithm is designed to achieve not only the detection accuracy but the rapid speed as well.
基于局部三元模式和支持向量机的实时眨眼检测
随着智能设备的普及,人们对这些设备的处理有很多需求。智能设备与台式机和笔记本电脑的不同之处在于,由于智能设备本身的便携性,它不能与鼠标、键盘等用户界面外设一起使用。这是我们的提议,眨眼检测算法用于与智能设备交互。我们要提出的这个算法可以代替鼠标最重要的功能——“点击”。这是可能的,因为“鼠标点击”很容易被“眨眼”取代。我们重点研究了实时性能的快速检测算法。目前已有的眨眼检测研究没有考虑到检测速度的问题,但具有相当明确的检测准确率。在本文中,我们的算法不仅要达到检测精度,而且要达到快速的检测速度。
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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