用你的眼睛控制电脑——一种基于眼电学的方法

Md Shazzad Hossain, Kristie Huda, Mohiudding Ahmad
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引用次数: 13

摘要

介绍了一种基于眼动和眨眼特征检测的独立于用户的人机界面系统。人机交互的免提界面有可能取代传统的人机交互设备,如鼠标、键盘等。这项技术旨在让有严重运动障碍的人通过移动眼睛来控制电脑。本文描述了一种利用眼动所产生的电势来控制计算机屏幕上的鼠标光标的方法。眼电图(EOG)信号用于检测眼球运动和眨眼特征。EOG信号由放置在眼睛周围适当位置的电极记录下来。然后对捕获的眼电信号进行分析,以检测和分类感兴趣的眼动特征。然后,检测到的特征被用来产生控制信号来控制鼠标光标。光标控制应用程序是脱机实现的。眨眼、水平和垂直扫视的检测准确率分别为100%、97%和93%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Command the computer with your eye - An electrooculography based approach
In this paper, a user independent human computer interface system using eye movement and blink feature detection is introduced. A hands free interface between computer and human can potentially replace the traditional human computer interface devices like mouse, keyboard etc. This technology is intended to give functionality to peoples with severe motor disabilities to control a computer by just moving their eyes. This paper describes a method of controlling the mouse cursor on a computer screen using the electrical potentials developed by eye movements known as Electrooculography. Electrooculography (EOG) signal is used to detect eye movement and blink features. The EOG signal is recorded from electrodes placed at appropriate positions around the eyes. The captured EOG signal is then analyzed to detect and classify eye movement features of interest. The detected features were then used to generate control signals to control a mouse cursor. The cursor control application is implemented offline. The detection accuracy for blinks, horizontal and vertical saccades are 100%, 97% and 93% respectively.
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