This paper addresses the increasing number of disabled people due to workplace accidents and the need for practical prosthetics that can improve rehabilitation treatment and comfort of home life. Considering the lack of prosthetics used in rehabilitation treatment of disabled people, the goal of this study is to develop an assistive product that can be used in rehabilitation treatment of disabled people. The goal is to extract data from the EMG signals generated when the user's muscles contract and relax, and to develop a more specific and practical prosthetic hand control technology by applying fuzzy theory to the extracted data. The developed prosthetic hand control technology aims to improve the user's quality of life and assist rehabilitation treatment in various environments.

Keywords

EMG signals, Artificial Intelligence, Machine Learning. Disabled and Prosthetic hand