Brain Controlled Flight Simulator


The Capstone Team: Nathaniel Kaye, Hamilton Kibbe, Boris Lippeveld, Kyle Mueller, Mike Nedoroscik, Rafael Perez with their advisor Professor Waleed Meleis introduced a novel approach to Brain Computer Interface (BCI) by using pseudo-random binary sequences as stimuli for steady state visually evoked potentials (SSVEP) in electroencephalography (EEG).  To demonstrate the wide variety, accuracy of controls, and leverage military interest, they apply this concept to control the open source flight simulator, FlightGear.  Pseudo-random binary sequences reduce noise in detection and eliminate inter-signal interference.  The implementation uses LEDs as stimuli to transmit signals to the pilot.  When one of these signals is detected, the flight controller sends the proper command to FlightGear allowing one to control the aircraft.  Currently, it is possible to distinguish between eight commands at a rate of 2 seconds/command.  Unfortunately it was found that in practical implementation we are limited by multiple sources of error. These include variability in and after template formation, distractions, and the mental state of the pilot. This project was performed in cooperation with Professor Deniz Erdogmus.