Abstract: In recent years several researchers are practicing on multiple body-machine interfacing techniques. Many techniques were successfully implemented and launched as a commercial products for medical and bioinformatics communications. Still concerning electro-oculography interfacing for Human Computer Interface (HCI) has wide scope of development and real life implementations. Like EEG, EMG and ECG, EOG doesn't provide important body parameters which could be used for disease diagnosis but it has very wide applications of machine interactions. The eye movement is known to be a essential communication tool for any person hence EOG could be used by Paralyzed stroke patients are unable to normally communicate with their environment. These patients can control the only part of their body is their eyeballs. Proposed system will identify the variations in electric signal strength through voltage level near the eye area and generates a signal in order to control the multimode interactive device. Different type of instrumental amplifiers could be used for better results and interfaced with communication devices.

Keywords: Human Computer Interface (HCI), Electrooculogram (EOG), Electroencephalograph (EEG), Electrocardiogram (ECG), Electromyogram (EMG).