Electroencephalogram-based truly wireless prosthetic arm

Abstract

The Brain-Computer Interface is a system that significantly aids in improving the quality of life for disabled people. By
improving the available BCI system, disabled people can be helped to overcome the hardships faced during their day-today activities such as grasping objects. BCI is now frequently used in the healthcare and medical fields. The myoelectric
prosthesis becomes futile in cases where the nerve ending of the amputee’s residual arm is damaged. In this paper, a
system is constructed to overcome these difficulties, basic motions of the prosthetic arm are controlled by using the BCI
with the help of Think Gear Module. Brain activity is captured by placing the dry single channel electrode on the frontal
lobe of the head. The captured signals are pre-processed in the think gear module and the data is sent for processing via
UART communication. The received signal is classified and processed to give a specific interrupt. The interrupt is received
via Bluetooth to the robotic arm consisting of the microcontroller, which is coupled with servos to control the 3D printed
robotic arm programmed to perform a specific task. The wireless system reduces the complexity of the system.