Modeling of EOG and electrode position optimization for human-computer interface

Abstract

The aim of this work was to model electro-oculogram (EOG) to find optimal electrode positions for wearable human-computer interface system. The system is a head cap developed in our institute and with it we can measure EOG and facial electromyography (fEMG) and those can be used to control the computer interface: gaze direction moves the cursor and muscle activations correspond to clicking. In this work a very accurate 3D model of the human head was developed and it was used in the modeling of EOG. The optimal positions of four electrodes on the forehead measuring the vertical and horizontal eye movements were defined. More tests and optimization is still needed to verify the positions. Modeling of EOG and the head model were successful.