Brain-Computer Interface using Electroencephalogram Signatures of Eye Blinks

The objective of this work is to develop a personalized eye blink based communicator device. The eye blink is detected using a single channel Electroencephalogram (EEG) system with a Bluetooth interface. Eye blinks have predominant signatures in EEG. Different patterns based on these signatures are used to map alphanumeric characters on a virtual keyboard and words are generated. Voice module is incorporated into the app on the android device for better accessibility of the device by including Text To Speech synthesizer (TTS) at the back-end to produce speech output.