Exploitation of EMG Signals for Video Game Control

Nowadays, the video games industry has many types of controllers to offer. This paper aims to explore the potential of utilizing electromyography as another device for video games control. In this paper the whole flow of EMG signal processing have been disused and examined. Signal filters have been designed and tested. For hand gestures classification have been build a neural network model which was trained and tested using different features achieved by using some metrics combination and wavelet decomposition. Built classifier was used to control a simple game.