BCI-Based Mind Controlled Computer Using Raspberry Pi

The BCI-Based Mind Controlled Computer project establishes a wireless link between a human-worn electroencephalography (EEG) headset and a Raspberry Pi 5 running Raspbian OS. The EEG sensor measures low-voltage electrical signals generated by brain activity and eye movements from the user's scalp. These bio-signals are transmitted via Bluetooth, utilizing the BlueZ protocol stack on the Raspberry Pi to manage the wireless connection. Once received, custom Python scripts handle the data stream: the nmap module can be utilized for network management if streaming over a local connection, while PySerial handles serial communications if wired diagnostic modes are needed. The NeuroPy library parses the raw data packets from the headset to extract specific attention, meditation, and blink values. Finally, the Pynput library translates these processed mental metrics and blink events into programmatic computer commands, allowing the Raspberry Pi to dynamically control mouse movements and generate click events without relying on standard physical input peripherals like a traditional keyboard or mouse.

Assisted technology for paralyzed or differently-abled individuals to communicate, navigate computers, and play digital games without traditional input devices.