Brain Controlled IoT EEG

The Brain Controlled IoT EEG project functions by establishing a wireless communication link between a wearable neural sensor and a single-board computer to automate physical devices using human mental focus. At the heart of the system is the NeuroSky MindWave Mobile 2 EEG Sensor, which captures electrical brainwave activity via a dry sensor forehead arm and an ear clip reference. This biosensor processes the raw electrical signals onboard and transmits structured data packets containing attention and meditation metric values wirelessly via Bluetooth. The Raspberry Pi 5 runs Raspbian OS and utilizes the Bluez driver stack to manage the Bluetooth connection with the headset. A Python script executes continuously, importing the NeuroPy library to parse the incoming data stream from the headset in real time. When the user's measured attention level crosses a predefined numerical threshold set within the script, the Raspberry Pi changes the logical state of one of its general-purpose input/output (GPIO) pins. This digital output signal is wired to a relay module, which acts as an electrically operated switch. Because the relay module isolates the low-voltage control circuit of the Raspberry Pi from high-voltage circuits, triggering the relay safely opens or closes the pathway connected to an electric light or home appliance. Through this closed-loop sequence of bio-signal acquisition, wireless telemetry, threshold logic evaluation, and hardware switching, the user achieves direct, hands-free control of physical hardware using sustained mental concentration.