Speech Assistive Communication System Using EOG

This paper presents a wearable single-channel electrooculography (EOG) based human-computer interface (HCI) for the physically handicapped speech impaired persons. In the developed system, EOG signals for control are generated from eye blinks or eye movements. Also signals from wrinkling of the forehead have been used. These signals are conditioned by a hardware system and processed by software using a DFT based algorithm. The system then transfers the digital data in a wireless manner to a phone or a tablet. The HCI provides two modes of operation: auto scroll mode and manual scroll mode. Text to speech has been used on the phone or tablet for the user to speak the typed phrase. The designed system is highly user friendly and provides a low power, cost effective, ergonomic and a reliable solution to enable efficient communication for the people with motor neuron diseases.