The document outlines steps to develop a game controlled by EEG signals. It discusses isolating the alpha wave and motor movements through EEG to control games. It proposes using Fourier transforms, sinus fitting, and Gabor filters to capture the alpha wave. A convolutional neural network combined with recurrent neural network is proposed to isolate motor movements like hand and foot motions. Next steps include finishing the algorithm implementation, testing it, and improving performance. Challenges noted are setting up the EEG equipment, computational power needs, and acquiring sufficient data.