Design and Simulation of a Bluetooth Control System based on EEG Signals for Bio-Robotic Applications

ABSTRACT

This paper presents a wireless control algorithm for five HS-311 servomotors representing the five fingers of a human hand. The EEG brain signals processed in NI-Multisim are fed to the analog input A0 of a first Arduino uno microcontroller, and then converted by the ADC of this first Arduino uno microcontroller. These EEG signals are transmitted to a second Arduino uno microcontroller thanks to a Bluetooth wireless technology coordinated here by the Bluetooth HC-05 module playing the role of master and slave in this algorithm. This second microcontroller whose role here is slave allows to drive five HS-311 servomotors in action of opening and closing of a human hand prosthesis. The movements of the said servomotors make it possible to define three actions that can be carried out by a human hand prosthesis, namely the Bluetooth wireless link characterized by a blue LED, the normal operation characterized by the blue and green LEDs and the charging of the prosthesis characterized by the red LED. All these actions are conditioned by push buttons.