An EMG-Based Human-Machine Interface to Control Multimedia Player

The electromyogram signals generated by muscles are used in numerous fields such as augmented reality, biomedical, kinematics, gaming, 3D animations and Human-Machine Interfaces. The latter is specifically used to help persons with reduced mobility or amputee with specific constraints to remote control machines. In this paper, we present a novel EMG-based system that aims to control multimedia player in simple, efficient and flexible manner. The implementation of our proposed approach was realized in order to achieve experiments and to conduct performance analysis. Our approach uses pattern recognition and contraction duration to derive four predefined actions. Our experimental results show the capacity of our system to achieve good detection accuracy of user EMG-based commands and to translate these commands into actions in media player system.