Development of text synthesis software utilizing EEG signals

The brain-computer interface is one of the critical values that brings opportunities to understand human-computer interaction within a more direct approach. In Human Brain, there are discovered, and undiscovered mysteries exist. An electroencephalogram (EEG) is a type of signal that shows the numerical values electrical activity of the brain. One of the essential EEG standards that discovered in BCI systems is the P300 signal. Wearable BCI headsets technologies are growing day by day. Many wearable EEG headset technologies provide to discover human brain mysteries. OpenBCI is one of the low-cost EEG headsets that allows measuring EEG signals. Day by day, artificial intelligence is taking place in human life. There are many new methods, and Technologies are developed to make people's life easier. Artificial intelligence methodologies play a vital role during the development of BCI applications. The aim of this thesis, predicting mouse cursor movements of the computer via artificial intelligence methods using electroencephalogram signals which are provided by OpenBCI wearable headset.