||In the modern era of convenient transportation and information abundance people can easily get information from the internet and reach any place in mind with transport. However, for the physically-limited community, they can not move at will, but their eyes are able to rotate freely. So the development of a set of eye movement control system makes their daily life easier and more complete.|
The purpose of this research is to construct a set of "eye movement control system", using EOG method (Electro-OculoGram, EOG) as a way to capture eye movement signals. Eye movement signals are processed and identified by circuit boards, sent to microprocessor to transform into control signals, and finally linked as control signals to the controller, so that the user can execute the action they want by using this system.
In this thesis, the tracking of eye movement is used to construct four different commands, and the user can quickly and precisely control switch. The equipment structure used in this system is simple, has small size components, easy to carry, possess good stability and easily controlled by the user.
|| R. Barea, L. Boquete, M. Mazo, E. Lopez, “System for Assisted|
Mobility Using Movements Based on Electrooculography”, IEEE
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