Published Paper Details:

Prosthetic arms have significantly improved the quality of life for individuals with amputations, enabling them to regain functionality. However, a critical challenge persists: controlling the precise amount of force when interacting with objects. This project addresses the issue by integrating Electromyographic (EMG) signals, voice commands, flex sensors, and fire sensors into a prosthetic system. The EMG signals are utilized to estimate the user's intended force, enabling the prosthetic to adapt its grip to handle soft objects delicately and firm objects securely, mimicking natural hand functionality. The voice command interface allows for the execution of complex hand movements with greater accuracy by combining muscle signals and spoken instructions, ensuring seamless and intuitive control. Additionally, flex sensors are incorporated to detect the bending of fingers, providing real-time feedback on hand positioning and enhancing the system's ability to perform intricate tasks. A fire sensor is integrated as a safety feature, enabling the prosthetic to detect and respond to hazardous heat or fire situations, thereby protecting the user from potential injuries. This multifaceted design ensures the prosthetic arm offers users improved control, precision, and safety. By allowing users to perform a wide range of tasks with the appropriate force and accuracy, the system enhances their independence and overall quality of life.