Gerçek Zamanlı Sanal Klavye için Elektrookülografig Sinyal Toplama ve İşleme

Year 2024, , 66 - 75, 20.12.2024

Leila Barour , Ayşe Nur Ay Gül

https://doi.org/10.58769/joinssr.1499482

Abstract

In situations of disease or trauma, there may be inability to communicate with others through means such as speech or typing. Eye movement tends to be one of the last remaining active muscle capabilities for people with neurodegenerative disorders, such as amyotrophic lateral sclerosis (ALS) also known as Lou Gehrig's disease and for people that are suffering from paralysis and for security silence may be obligation or for privacy or easier communicate without using hands. For that, there is a need for eye movement-based systems to enable communication. The aim of this study is to control keyboard using EOG signals which are obtained from cornea-retinal standing potential that exists between the front and the back of the human eye. It can be extracted by placing electrodes around the eye which can pick up these signals. The result was a written message which exact the wanted letters repeated for the time pause. This can be further improved by adding blinking movement so adding blinking detection algorithms to it to choose the specific letters only.

Keywords

EOG, ALS, Virtual Keyboard, Recorded Message.

Electrooculography Signal Acquisition and Processing for Real-Time Virtual Keyboard

Abstract

In situations of disease or trauma, there may be inability to communicate with others through means such as speech or typing. Eye movement tends to be one of the last remaining active muscle capabilities for people with neurodegenerative disorders, such as amyotrophic lateral sclerosis (ALS) also known as Lou Gehrig's disease and for people that are suffering from paralysis and for security silence may be obligation or for privacy or easier communicate without using hands. For that, there is a need for eye movement-based systems to enable communication. The aim of this study is to control keyboard using EOG signals which are obtained from cornea-retinal standing potential that exists between the front and the back of the human eye. It can be extracted by placing electrodes around the eye which can pick up these signals. The result was a written message which exact the wanted letters repeated for the time pause. This can be further improved by adding blinking movement so adding blinking detection algorithms to it to choose the specific letters only.

Keywords

EOG, ALS, Virtual Keyboard, Recorded Message.

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