Abstract
Today, there are many people who have lost their hands or arms for various reasons. This situation affects both psychology and daily life of people negatively. With the developing technology, prosthetic hand and arm studies are carried out to facilitate the life of disabled people and to eliminate this negativity. Thanks to the existing biopotentials in the body, it is possible to read the human body. In this context, it can explain our hand and arm movements with the existing biopotential signals and transfer these signals to a prosthesis, enabling people to make the desired movement. Since the biopotential signals in the body are of very low amplitude and frequency, the first goal is to obtain the EMG signal cleanly without noise. In this study, the obtained analog signal was converted into digital information by using software in the computer environment. Thus, each signal gained a meaning. As a result, the movement of the prosthesis was provided by transferring it to stepper motors with the help of Arduino.
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