Human-Robot Arm Interaction Based on Electromyography Signal
Yousif Al Mashhadany, Sameer Algburi, Mohammed Abdulteef Jasim, Ali Qusay Khalaf, Ibrahem Basem
Abstract
Many applications in biomedical engineering based on Electromyography signal (EMG) by interface that It will be used effectively within the scientific application of human-robot interaction (HRI) in a very structured and dynamic environment. In HRI applications, we principally specialize in the illustration of automaton work pieces. First, we distinguish between the assorted ideas of representational process, and that we introduce purposeful anthropomorphism to represent a person's movement for human robots, given the functional limitations obligatory by some people. Robots are useful in many ways and serve various purposes. The humanrobot interface has been acknowledged in the past. Electromyography (EMG) is the measurement of nerve signal due to the contracting muscles. In this work, a humanoid robot is controlled through electrical signals acquired from a user's arm. This work consists of three main parts, which are as follows: First, the robot arm's motion was controlled using six variable resistors in order to calculate how much effort the servo would need to move at the desired angle. Second, The EMG signals are obtained from the muscles of the hand by using sensors placed on sites on the arm, where the voltage resulting from muscle contraction and relaxation is measured, and the highest value for the voltage is taken when contracting and the lowest value for the voltage when relaxing. Third, A connection between the real human arm and the robot arm is designed in full synchronization where the results that were calculated in the first paragraph of the work were calibrated with the results that were calculated from the second paragraph.