—In recent years several researchers are practicing on human interfacing techniques. Many techniques were successfully implemented and launched as commercial products for medical, aeronautics and bioinformatics communications. Still concerning electrooculography 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 in human and machine interactions. EOG could be used by paralyzed stroke patients are unable to normally communicate with their environment. For these patients, the only part of their body that is under their control is eye moments. The system will detect the variations in electric signal strength through voltage level near the eye area and generates a signal in order to control interactive device. Additionally, they are particularly suitable in the case of people with severe motor disorder, for example people with other physical disorder. Developing solutions for them involves different ways of using sensors that decides the user’s needs and limitations, which in turn converts the user’s intentions into commands. This paper submits the use of EOG signals for the different application control in different fields in current situation
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