Brain-Controlled Automation For People with Limited Mobility

The Brain-Controlled Automation system functions as a Brain-Computer Interface (BCI) that translates neural activity into actionable electrical commands for everyday devices. At the input stage, an EEG sensor placed on the user's scalp detects faint electrical potentials generated by brain activity. These bio-signals are transmitted to the Sipeed Maixduino platform, which combines powerful microprocessing with edge AI vision capabilities. The Maixduino runs neural network models via the Arduino IDE or MaixPy SDK to continuously analyze the incoming EEG data streams in real time. Through machine learning classification, specific mental patterns or intent-driven wave signatures are isolated and mapped to predefined command outputs. When a recognized brainwave pattern matches a trained trigger condition, the Maixduino alters the state of its digital general-purpose input/output pins. These output signals drive external hardware through switching circuits: LEDs provide visual feedback of recognized states, while DC motors simulate the operation of household appliances or automated mechanisms like motorized doors and switches. A local TFT LCD display acts as a visual interface, rendering diagnostic data, system status, and visual confirmations of the classified EEG commands to the user.