Special Issue Article Open Access

Access Computer Using Electrooculography Signals of Human with Different Directions

Abstract

Electrooculography (EOG) signals are used to control human-computer interface system. It has the ability to extract the signals so that the users can overcome physical limitations. It provides information about the human eye activity by detecting the changes in eye position. At present there is no effective multi-directional classification method to monitor eye movements. A wireless EOG-based HCI device to detect eye movements in four directions. This includes wet electrodes, an EOG signal classification algorithm which extracts the electrical signals which corresponds to four directions of eye movement (up, down, left and right) and blinking. It is also used to study eye-function in real-life conditions later. Eye movements can be used as signals to transfer information from users to HCI systems. A user can select a response by staring on it for certain amount of time without the need for keyboard entry or manual mouse. This reduces the time to generate a command.

S.R.Abina Ramya Supraja, Mrs.A.Suberia Begam

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