According to a new report prepared jointly by the World Health Organization and the World Bank, 15 percent of the world‘s population is being disabled for many reasons. This system makes them simple to use their room environment by their own without others help. Based on eye movement control, is the simplest way to control smart appliances such as on and off when the patient is alone. This method investigates the reliability of EOG signals for activating smart appliances. We proposed a novel EOG-based automated switch design, in which a visual trigger mechanism is introduced to guide the users` blinks and to assist in detecting eye blinks based on the GUI, which includes a switch button that flashes per every time interval. When an eye blink matches to a flash button`s that it detected, the system issues an on/off command to enable the system and also provides emergency alert when the patients are at risk.

Eye blink detection, EOG, GSM, Emergency Alert, AT- Assistive Technology, Smart Environment

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