Surface Electromyography Signal for Artificial Hand Control

Prosthetic hands are artificial devices designed for people with upper extremity amputations to provide them some functions of natural hands. An amputee that has lost upper limbs goes through many different consequences not only in the physical aspect but also including socially, economically and psychologically. These consequences can be minimized and the amputee can adapt to a normal life with the help of artificial hands, wrists as well as arms that performs daily tasks including grabbing objects, typing, writing, dressing and many more. Amputees gain confidence, functionality and mobility where they are equipped with prosthetic hands and they can prevent anymore issues or accidents from occurring and live a rich and full life (Amputee Coalition, 2019). In this day and age, there are many different commercial prosthetics devices. The main aim of this project is to develop a system that senses muscle contractions from the skin surface to control the fingers, of a prosthetic hand, to type by pressing the button on the keyboard. Surface Electromyography Signal shall be collected using MyoWare muscle sensor depending on the sensor position attaching at the limb. The signal shall be analyze and used to control the finger to type. This paper reviews a brief explanation of the different methods for processing and classifying EMG signals. The crux of this paper is to review the most recent developments and research studies related to the issues mentioned above.