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

机译:使用眼电位描记术(EOG)技术影响眼睛信号的眼动活动

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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.
机译:该项目的目的是研究使用眼动技术(睁眼,闭眼和眨眼)以及阅读活动对眼动活动的影响。眼电位计是一种测量人眼前后之间角膜-视网膜站立电位的技术。此结果信号称为眼电图(EOG)。为了收集眼图信号,该电路是由Arduino Olimexino 328电路开发的。该电路在Arduino和MATLAB软件之间连接。然后,将Ag / AgCl电极放置在脸部附近,以检测EOG信号。根据眼动的四种活动来记录和分析信号。在该项目中,涉及5个主题,其中2个男性和3个女性。这些活动的结果可以区分其他信号,例如向上,向下,向右和向左。通过开发算法,这些EOG信号可用作人与机器(如轮椅机器人)和康复目的之间的通信工具。

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