Tennis computer game with brain control using EEG signals

This paper presents a game designed to improve the quality of life of people with severe disabilities for using a computer mouse or keyboard. The game has been designed using biofeedback and BCI technology included in a machine learning algorithm and integrated into a game interface using the SDL library. The results have been entirely satisfactory because the success rate in trained patients is over the 80% and the game has been qualified by them as friendly. Next step will be to develop the graphics in 3D instead of 2D. The social benefits of this type of application can affect diseases involving movement difficulties for controlling keyboard and mouse of a computer, or even rare diseases like congenital double athetosis.