Control of a brick-breaking game using electromyogram

Abstract

We aim to design a human-interface system to control a brick-breaking game using electromyographic (EMG) signals elicited by wrist movements. By measuring EMG signals, it is possible to predict the next stage of movement or force before motion. We filtered EMG signals through a finite impulse response filter with a cut-off frequency of 2.2 Hz. The resulting signal is very similar to the actual tension. We calculated subtraction between flexor and extensor muscles to obtain movement of the wrist. After simple calibration, the participant was able to control a paddle to break bricks in real time using wrist movements. Consequently, we succeeded in controlling the paddle of the game. The proposed system is expected to use as a rehabilitation tool or an entertainment system.