Development of Electromyography Signal Function to Control Robot Arm Working Adaptively in the Reverse Direction of the Human Arm Movement

Abstract

Malfunctioning conditions in one arm can be experienced by humans due to congenital defects, accidents, or side effects of experienced health problems. This has an impact on reducing the effectiveness of work because in normal conditions humans often need a pair of arms that are able to function actively. This situation was tried to be overcome by utilizing a mechanical robotic arm controlled by an Arduino microcontroller and Myo Armband as a sensor for orientation and an electromyography signal from one of the user’s normal arms. The results of sensing from the user’s arm that have been successfully read are then processed using an algorithm that is built to provide a decision in the form of what action the robot arm should take. The test results obtained show that the robot arm responds real-time to input from the orientation of the user’s arm, although it is also found that sometimes the robot arm does not respond to input from the electromyography signal.