Mobility can be a challenging issue for those with paralysis resulting from a spinal cord injury or muscular degeneration. It is especially difficult, or next to impossible, for those with quadriplegia and unable to move any of their limbs. Restoring mobility to these people would significantly improve the quality of life for those living with quadriplegia. There have been several different methods aimed at doing just this. One method is through the use of brain controlled interfaces. A brain-controlled interface system allows for the user to control an object through their brain activity, bypassing the need for any physical inputs. Usually some form of an Electroencephalogram (BEG) is used to capture brain activity and send those signals to a computer which analyzes the brain waves and activity and generates an output command based upon those readings. This project uses a skull cap with 8 electrodes, made by Unicom BCI, to capture brain activity. These readings are sent to a computer mnning MATLAB and Simulink software to receive and process the brain waves in order to generate commands. Simulink communicates with an Arduino Uno in order to set certain pins high or low depending on the desired command. These Arduino pins are connected to a pair of motor drivers which control the speed and direction of the motors on a powered wheelchair.