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What is Low-Cost Myoelectric Prosthetic Hand about?

This document discusses the development of a low-cost myoelectric prosthetic hand that utilizes electromyography (EMG) and machine learning for control. The prosthetic is designed to classify five different gestures using EMG signals from three forearm muscles, achieving high classification accuracy and incorporating features like wrist rotation and tactile feedback. The project aims to provide an accessible and effective solution for amputees in developing countries, addressing the limitations of existing

Author

9701750699t

Language

EN