EPSILON-BCI (Controlling electronics with Brain)

The EPSILON-BCI project functions as a Brain-Computer Interface that translates biological electrical signals into physical actions using a microcontroller architecture. The system begins at the user, where six electrodes capture micro-volt level electrical potentials from the scalp or surrounding muscle/eye areas. These raw signals are routed through three alligator cables into the Bio Amp EXG Pill, a specialized bio-potential sensor designed to amplify and filter weak electroencephalography (EEG) signals so they can be read by standard digital logic boards. Once conditioned, the signal is read by an Arduino Uno R4 WiFi or a Nano ESP32. The microcontroller processes these incoming values based on threshold programming—such as detecting spikes in focus or specific wave patterns. Depending on the programmed logic, the microcontroller can directly trigger digital output components like a red LED, or it can drive mechanical actions. For more advanced motor control, the board interfaces with an L293D motor driver to regulate two gear motors mounted on a wood or plastic chassis with four rubber tires, simulating a motorized wheelchair. Additionally, a 5V servo claw capable of moving 90 degrees can be actuated to interact with objects. The setup also integrates an ESP32-CAM for visual processing, a 3D printed PLA material VR headset to house the physical components comfortably around the head, and connects to the Arduino IoT Cloud for remote data monitoring and visualization via software like the Spike Recorder app.