Mind Controlled Prosthetic Arm

The Mind Controlled Prosthetic Arm system operates as a closed-loop brain-computer interface (BCI) where neural activity translates into mechanical movement. At the core of the setup is an EEG sensor, such as the NeuroSky headset, which captures raw electrical signals from the user's scalp. These neurological data streams are transmitted via a Bluetooth module and a USB Bluetooth adapter to the Raspberry Pi 5 running a Linux environment. A Python script leverages the NeuroPy and pyserial libraries to read, parse, and analyze the incoming brain wave data in real-time, focusing on specific cognitive metrics such as attention or meditation levels. When the processed EEG data crosses a predefined threshold, the Raspberry Pi executes logic implemented via the gpiozero library to control the physical hardware. Specifically, the script sends control signals to actuate a series of servo motors connected to the mechanical joints of the 3D printed InMoov robotic arm parts. Because servo motors require significant current to drive their internal DC motors under load, a dedicated external power supply provides the necessary electrical current for the actuators, while the Raspberry Pi supplies the logic-level control signals. Through this integration of wireless bio-signal acquisition, Python-based software processing, and multi-servo actuation, the system enables users to manipulate the prosthetic fingers and joints using focused mental states.