Abstract

The overall aim of this investigation is to allow paralyzed individuals to regain motor movement with thought controlled robotic devices and in doing so provide them with a higher level of independence. The specific goal of this project is to classify EEG movement signals through a combination of discrete wavelet transforms and energy distribution. Using the energy distribution of these signals a neural network can be implemented to more accurately differentiate distinct motor movements.