The brain-machine interface is a tool that uses reading and decoding of brain activity to transfer commands and activity to a machine or computer to turn this information into commands to move and control the robot or make decisions.

Brain information in this group is read through an electroencephalogram and the electrical activity of brain neurons is received in different areas of the head. The next step is to remove noise and irrelevant information to find features that can be used to detect brain activity.

The proposed project will allow the driver to have direct access to brain commands by recording electrophysiology from the brains of audiences in the driving simulator environment. For example, with the help of decoded signals in this project, a few hundred milliseconds faster than the foot executes the brake command, the interface of the machine brain designed to activate the braking system to reduce the potential risk. In fact, if a driver is traveling at a speed of 100 kilometers per hour and sees an obstacle, using this technology, he can brake 27 meters faster and save the driver's life in an emergency. This project, in addition to providing very suitable options for car companies, can also be used to improve the driving of the elderly and increase the skills of special drivers (heavy vehicles, ambulances and police cars).