In this study, a low cost single channel electrooculography (EOG) amplifier circuit and interface software have been created. This interface was created using the Python programming language. In this interface, EOG signals can be drawn and recorded in real time. These recorded signals can be redrawn later on offline interface. In addition, class information of blink, looking up and down eye movements was obtained through 3 warning lamps added to the interface. Thresholding method was used to classify these eye movements.Unlike the 2 channel EOG measurement circuits in the literature, a single channel EOG amplifier circuit was used in this study. Eye movements in vertical and horizontal planes with a small change in the electrode placement areas were visualized with this single channel amplifier circuit. The EOG signals received in response to these eye movements were compared with the signals received with 2 channel EOG amplifier circuits in the literature. There was little decrease in the amplitude values of the signals. However, there was no change in the general shape of the signals.