Feature Extraction and Classification of Surface EMG Signals for Robotic Hand Simulation

Abstract

Feature Extraction and Classification of Surface Electromyography (EMG) signals provide an access for the development of Robotic Hand. EMG signals stands for electromyography signals. These are called the bio signals. Bio signal means a collective electrical signal acquired from any organ that represents a physical variable of interest. The EMG signal being a biomedical signal that measures electrical currents generated in muscles during its contraction representing neuromuscular activities. [1]. The nervous system always controls the muscle activity (contraction/relaxation). Hence, the EMG signal is a complicated signal, which is controlled by the nervous system and is dependent on the anatomical and physiological properties of muscles.