Digital signal processing and classification study for electrooculogram signals

Abstract

In this study, EOG signals recorded by an developed electronic hardware are processed by digital signal processing techniques and classified with Nearets Neighbor method. The DC component of the signal is suppressed with the digital signal processing techniques, and filtered with different algorithms, a classification is performed. The difference between the filtering processes can be analyzed with different algorithms by using the software that is being developed. This study can be used effectively on the human computer interface application.