Affordable Bionic Hands With Intuitive Control Through Forearm Muscle Signals

The development of bionic prosthetic hands offers a transformative approach to restoring functionality and independence for individuals with upper-limb amputations. This research introduces a novel prosthetics system that utilizes forearm muscle signals, captured through advanced muscle sensors, to precisely control prosthetic hand movements via servo motors. By integrating electromyography (EMG) with lightweight, modular components such as 3D-printed frames and Arduino microcontrollers, the proposed design achieves a cost of approximately $ 400, making it highly affordable and accessible. The system leverages AI-driven signal processing to enable intuitive and responsive hand movements, while haptic feedback mechanisms-featuring vibration and sound outputs-enhance user interaction by simulating tactile sensations. Case studies validate significant improvements in users' independence, task performance, and quality of life, demonstrating the system's practicality and adaptability. By addressing key challenges such as high costs, limited sensory feedback, and rigid designs of existing prosthetic technologies, this work represents a novel, inclusive, and scalable solution tailored to diverse user needs.