Detekce pohybu očí

Abstract

The subject of this thesis is detection of eye movement. After the theoretical analysis, the method of electrooculography (EOG) was chosen. Nowadays, this method represents a possible compromise between the price and accuracy of equipment. Development of this method also benefits from the contemporary trend of miniaturization, when an electrode can be attached e.g. to the goggles so it is not necessary to have the electrodes attached on your face. This thesis aims at bringing the electrooculography to the awareness of students. In the first part I devote to the theoretical analysis electrooculography, the newest findings in this field and its comparison with other methods. In the practical part I present the hardware solution of electro-oculography and visualization software. This software helps students understand this method, enabling them to test the accuracy of electrooculograph and control of simple application with eye movement.