Abstract
Bio-based Human Computer Interface (HCI) developments to assist disabled people have attracted a lot of attention of researches all over the world in recent years. In this paper, an Electrooculography (EOG)-based HCI is introduced. It consists of an EOG signal acquisition stage, filters, amplifiers, and a pattern recognition and control output system. Five surface electrodes are employed to detect the EOG signals, which contain the information related to the vertical and horizontal eye movements. This information is used by an algorithm in a PSoC (embedded system) in order to generate four digital control outputs that allow the user to select one of four possible options. These commands could be used to control a computer, a wheelchair or other assistive technology. The interface was designed to respond in real time to user’s commands, and used an embedded system to fulfill low cost and low consumption requirements. Based on this system, experiments were driven with a healthy subject, who controlled two DC motors. The system was functionally validated.
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