EEG-Based Brain Wave Controlled Intelligent Prosthetic Arm

Abstract

The amputees nowadays usually wear a prosthetic arm which are not functionable. These prosthetic arms unable to help them to carry out their basic daily work independently. However, the EEG based brain wave controlled intelligent prosthetic arm is able to assist the amputees to carry out basic daily work. By using the EEG brain wave controlled, the amputees can control the movement of the prosthetic arm by visualizing the movement of the arm. Besides the amputees, the paralyzed person can also use their thought to control the prosthetic arm. The EEG based brain wave controlled intelligent 3D printed prosthetic arm is designed to use the amputee's brain wave to control the movement of the prosthetic arm. The amputee needs to be trained in order to control every arm movement correctly. The EEG signal needs to be collected from the amputee on visualizing on 4 left forearm movements which are up, down, left and right. After that, signal pre-processing and Discrete Wavelet Transform (DWT) is performed on the EEG signal to obtain the alpha wave. Then, FFT is performed to the alpha wave to convert it to frequency-domain. The two-stage binary classifier that used Support Vector Machine (SVM) machine learning technique is created in the MATLAB to classify the alpha wave of the arm movement accurately for the user.