Brain Controlled Lego NXT Mindstorms 2.0 Platform

The increased need to perform a different control adapted to various areas such as: rehabilitation, entertainment, smart toys have created a new demand for small sized low-cost electroencephalogram (EEG) acquisition devices. Also, there is a need to develop portable EEG devices that can be used for long term, without the need for further operations such as the short-time replacement of signal capture electrodes or frequent rehydration in the case of semiconductor polymers-based sensors. In this paper, we propose the use of an OpenBCI neural headset whose structure has been designed and 3D printed, equipped with 16 reusable electroencephalogram electrodes that provide 16 channels of acquisition of EEG signals from the user to control a Lego NXT MindStorms 2.0 wheeled platform programmed in C# that accepts brain control signals as input.