Applications of Myo Armband Using EMG and IMU Signals

Abstract

Human-Robot Interaction (HRI) plays an important role in a wide range of applications in healthcare, entertainment, and industries. Many ways are being devised to improve the interaction between humans and machines in the field of robotics. For instance, the existing approaches claim precise control over the robotic arm using many different controllers like the joystick, keypad control, or electroMyographic (EMG) sensors attached to the human arm as separate units. However, it requires a non-practical amount of calibration time and high operational expertise. Therefore, our goal is to mimic the human arm movements on the 6-degree of freedom (DOF) robotic arm in real-time, providing minimum latency. We practically show the interfacing of Myo armband with robots that provide tremendously low calibration time without compromising efficiency. We also allow a 6-DOF using EMG and inertial measurement unit (IMU) signals for Myo armband and extract the values of EMG and IMU sensors. The extracted raw EMG and IMU values are calibrated using Arduino as a standard micro-controller. Due to the extraction of raw values, Myo armband can also be integrated with other users' peripheral, which in our case is a 6-DOF robotic arm.