Abstarct: Recently different approaches have been explored for developing a system to track eye movements. These approaches expand from using image processing to measuring the reflections of IR light. In this paper, EOG (Electrooculographic) signals have been exploited to detect the direction of eye movements and also different pattern of blxinking. In order to detect the direction of eye movement, a couple of Ag/Cl electrodes and appropriate signal conditioner circuits are utilized. Signal conditioning is consist of 2 amplifier stages and 2 low-pass filters. First amplifier stage is implemented by an instrumental amplifier “INA121” with a gain of 43dB. Low-pass Butterworth Sallen-Key filters are utilized in which the first filter is a 2nd order type with a bandpass frequency of 28.42Hz and the second one is a 4th order LP filter with a 15.9Hz bandpass frequency. Second amplifier stage is integrated with the 4th order LP filter i.e. this filter is an active filter with 30dB gain in its bandpass frequencies. The fabricated circuit has no longer neither the complexity of signal processing knowledges nor the long term use effects of the infrared radiations. In this project, system fabricated were tested on 20 persons and average amplitude of the EOG signals picked up for looking up, down, right and left are respectively 0.185mV, -0.177mV, 0.183mV and -0.173mV. The signals acquired for blxinking have an average maximum and minimum amplitude of 0.37mV and -0.16mV respectively. A robotic eye with ability of tracking and mimicking eye movement is designed and implemented, too. Besides using an LED inside each eyeball, blxinking is shown by turning LED on and off. The proposed system can precisely recognize any eye movements and be used for controlling wheelchairs, Mouse pointer and so on by quadriplegic patients. It is also suitable for entertainement such as virtual reality purposes.