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Electromyography (EMG) is an electrodiagnostic medicine technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG is performed using an instrument called an electromyograph to produce a record called an electromyogram. This paper proposes to find a solution to the two possible challenges, namely the manipulator movement speed and accurate angle the manipulator lifts. This challenge can be resolved using Electromyography (EMG) signals taken from the muscles of the body. The extracted signals have some noise which must be filtered in order to analyze the correct muscle signal, this can be imitated using a manipulator. The system consists of a control part which maps the coordinates to the position of manipulator. The control part maps the position of the manipulator based on the amplitude and frequency of the EMG signals. These signals are distinctive to individual poses and can be discriminated using a suitable classifier. Once the above issues are resolved this application can be very useful for amputees. For an example, a war veteran who has lost his arm can make the use of this technology to make his/her life easy. The brain sends the arm muscle signals which we can read and filter only muscle signals which can be sent to the robotic manipulator as an electrical signal and make it work accordingly. |
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