Eye movement activity that affected the eye signals using electrooculography (EOG) technique

N. Noor, Muhammad Azhan Muzammil Mustafa
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引用次数: 5

Abstract

The purpose of project is to study the effect of the eye movement activity using electrooculography technique which are open, close and blinking the eye as well as reading activity. The electrooculography is a technique that measured the corneo-retinal standing potential between front and back of the human eye. This resulting signal is called the electrooculogram (EOG). In order to collect the eye signal, the circuit is developed by Arduino Olimexino 328 circuit. The circuit is interfaced between Arduino and MATLAB software. Then, the Ag/AgCl electrodes are used to detect the EOG signal by placing the electrodes near the face. The signals are recorded and analysed based on four activities of eye movement. In this project, there are 5 subjects involve which are 2 males and 3 females. The results from these activities can be differentiated between the others signals such as upward, downward, rightward and leftward. These EOG signals can be used as a communication tools between human and machine such as wheelchair robot and rehabilitation purposes by developing the algorithm.
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利用眼电图技术研究影响眼信号的眼动活动
本课题的目的是利用眼电技术研究睁眼、闭眼、眨眼以及阅读活动对眼动活动的影响。眼电图是一种测量人眼前后角膜视网膜站立电位的技术。由此产生的信号称为眼电图(EOG)。为了采集眼球信号,电路采用Arduino Olimexino 328电路开发。该电路是Arduino和MATLAB软件之间的接口。然后,将Ag/AgCl电极放置在面部附近,用于检测EOG信号。这些信号是根据眼球运动的四种活动记录和分析的。在这个项目中,共有5名受试者,其中2名男性,3名女性。这些活动的结果可以与其他信号(如向上、向下、向右和向左)区分开来。通过算法的开发,这些eeg信号可以作为轮椅、机器人等机器之间的通信工具和康复目的。
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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