Implementation of a Brain-Computer Interface for Robotic Arm Control

Brain-Computer Interfaces (BCI) or Neural Control Interface (NCI), is a distinct and global technology that has revolutionized the world of control and signal processing. This technology has helped link humans and computers to achieve goals that are difficult to achieve for certain patients or people. This work combines the cutting edge BCI strategies into one single framework to control a 3D arm. In the proposed experiment, brain signals are utilized to move the automated arm and perform various assignments such as move any finger of the hand. To provide movement to the 3D arm robot in real-time, we acquired EEG data based 10-20 international system and forwarded these signals to the processing computer using OpenBCI Wi-FI, OpenBCI cyton board, and controlling the servo motors using OpenBCI GUI and Arduino Uno. The BCI designed system was evaluated by a real-time experiment study and applied on man and woman were induced by opening and closing hands, also the validation process has been done with different frequency and voltages where the experimental results demonstrate that the process will operate as designed with extreme precision and high performance.