In collaboration with Professor Dana Cooley of the University of Lethbridge, I was tasked with interfacing the Muse EEG headband with Processing and Arduino.
Using human brain activity, a series of actions needed to be performed with an Arduino Uno. The Muse headband collects the alpha, beta, gamma, and delta waves of a user then relays that information first to processing. With the oscP5 library, the information is visualized along side a distance senor to detect the users relative position
The Data is then parsed to the Arduino and controls LEDs and the speed/direction of a brushless motor. Starting with the mellow values, the LED will illuminate or darken based on how long the user can maintain the brain wave. Once they’ve achieved holding the wave long enough, the next corresponding brain wave function to the next LED. Once all four brain waves are achieved, the algorithm flips, with the brainwaves darkening in reverse order.