A low cost Human Computer Interface for Disabled People based on Eye Blink detection using Brain Signal

Abstract

In the society, most of the disabled people especially completely movement impaired ones live like burdens and suffer from severe depression as they have to depend on others for day-to-day activities and cannot contribute to the community. These people may not be able to move their arms or legs but they can certainly think. If their ability to think and make decisions can be utilized in decision making situations and also if they can further be included in industrial automation structure, they will no longer be burden rather they will become man-power to the society. One of the major challenges of involving these people in such processes is making a low cost device that is affordable by the mass, made with locally available components and also interprets the person's choice accurately. As these people are physically disable, comprehending their electroencephalogram (EEG) signal for blink detection can be an effective solution for translating their choices. EEG-based controlling devices are mobile and can serve as powerful aids for severely disabled people in their daily life. In this work, a low cost EEG sensor is made with readily available components and a framework is developed to detect voluntary eye blinks. A graphical user interface (GUI) is also developed which is suitable for the impaired person. The eye blinks of the person act as bridge between a set of choices pointed in the GUI and his/her selection interest and thus help the person control home appliances, wheel chair and even computer without depending on others.