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EOG gözün korneası ile retinası arasındaki kutuplaşmalar sonucu ortaya çıkan elektriksel potansiyel farkına dayanır. Bu potansiyel fark gözün arka tarafındaki düzenli negatif elektriksel dipol ve gözün ön tarafındaki düzenli pozitif elektriksel dipol tarafından oluşturulur ve yüze yerleştirilen elektrotlar tarafından algılanır. Göz hareketlerinin takibi günümüzde birçok hastaya ve pek çok medikal alandaki çalışmaya kolaylık sağlayabilecektir. Bedensel engelli bireylerin teknolojiye ayak uydurmalarını sağlamak ve bilgisayar kullanımını kolaylaştırmak projenin genel amacıdır. Bu çalışmada EOG sinyalini elde etmeye yarayan elektronik devre tasarımı gerçekleştirilmiştir. Ayrıca elde edilen sinyalde gözün çeşitli fonksiyonel hareketleri, tasarlanan devre ile tespit edilmiş ardından osiloskopta ve bilgisayar ortamında gözlemlenmiştir. Son olarak bilgisayar ortamında işlenen sinyalin entegre edildiği uygun arayüz ile göz hareketlerinin takibi yapılmıştır. Bu takip sayesinde geliştirilen algoritma ile bedensel engelli bireylerin bilgisayar kontrolü yapabilmesi sağlanmıştır.
EOG is based on the electrical potential differentiation that occurs as a result of polarization between the cornea of the eye and the retina. This potential difference is created by the regular negative electrical dipol on the back of the eye and the regular positive electrical dipol on the front of the eye and is detected by the electrots placed on the face. Tracking eye movements can make it easy for many patients and many medical fields to work today. The overall objective of the project is to ensure that individuals with disabilities are adapted to the technology and to facilitate the use of computers. In this study, an electronic circuit design was carried out to obtain the EOG signal. In the signal obtained, the various functional movements of the eye were also detected with the designated circuit and then observed in the oscilloscope and in the computer environment. Finally, the eye movements were tracked with the appropriate interface where the processed signal was integrated into the computer environment. Through this tracking, the algorithm developed ensures that physical disabled individuals can perform computer controls.
EOG is based on the electrical potential difference resulting from polarization between the cornea of the eye and the retina. This potential difference is created by the regular negative electrical dipole on the back of the eye and the regular positive electrical dipole on the front of the eye and is detected by the electrodes placed on the face. Follow-up of eye movements can provide convenience to many patients and to work in many medical fields. This study was carried out to enable physically disabled individuals to keep up with technology and to facilitate computer use. In this study, an electronic circuit design was used to obtain the EOG signal. In addition, various functional movements of the eye in the obtained signal were detected by the designed circuit and observed in the oscilloscope and computer environment. In addition, following the movements of the computer is ensured to follow the eye movements with the appropriate interface where the signal is integrated. According to detected EGO signals, in line with the developed algorithm, subjects with physical disabilities can provide computer control.
Alan : Fen Bilimleri ve Matematik; Mühendislik
Dergi Türü : Uluslararası
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