Brain Computer Interface (BCI), EEG, Eye blinks, Data Acquisition.
In our society there are more people suffered by paralytic diseases causes them several disabilities like they are unable to talk and unable to move physically and unable to express their everyday basic needs, but they can still use their eyes and sometimes move their heads. This Paper is working under the principle of Brain-Computer Interface (BCI)Our model helps them to type the letters using the virtual keyboard, which is displayed in the monitor, designed using python programming. This system is having core system as Raspberry Pi. The virtual keyboard contains alphabets, numbers and some punctuations. Mouse pointer gets automatically shifted through every key, characters can be chosen by making an eye blink at a particular position of mouse pointer at a certain character. In this paper the brain wave signals are analyzed and on the basis of Eye-Blink counts, the direction of the keyboard is controlled. The basic idea of BCI is to translate user produced patterns of brain activity into corresponding commands. A typical BCI is composed of signal acquisition and signal processing (including pre-processing, feature extraction and classification).