Detection of eyes position based on electrooculography signal analysis

Abstract

In this paper we reported initial work at development of a human-machine interface system for people with severe disabilities based on measurement of electrooculography signal (EOG). We proposed a system for detecting and predicting eyes position using EOG. We applied a zero-order Takagi-Sugeno-Kang model with modified inference procedure for this task. To calculate values of parameters of fuzzy system we used results of EOG signal segmentation. Experimentation shows the usefulness of the presented method for improving functionality of interface systems that can assist people with limited upper body mobility. © 2008 Springer-Verlag Berlin Heidelberg.