Brief Project Introduction:

This project aims to produce a user-friendly BCI system that allow user to control the computer barely by their thought with minimum amount of commands. This project is based on MindDekstop and aims to create a similar application but with a faster selection algorithm and user-friendly GUI. For instance, the virtual keyboard will have a hierarchy that is related to the user habit. The most frequently used group of keystrokes will place in the area allowing rapid selection. The objective of this project is that user will be able to finish a task with less time and easier control comparing to the MindDesktop. As Microsoft Windows is the most popular Operation System(OS) currently, Windows will be the target OS of this project. Originally, the matching of brainwave signals to mental commands relies on the Emotiv SDK, but the plan changed due to malfunction of the Emotiv headset. Deep Learning Neural Network was investigated to found out the possibility of accurate control of the system, where Keras library is being used for rapid development.