Advanced Mobile Security System Operated by Bioelectrical Sensor

Abstract

This article describes a novel type of an advanced mobile security system, a myokinetic password, using surface electromyographic (EMG) signals. We proposed an advanced security system that can increase password strength without modifying password length or increasing alphabet character variation. We present an implementation of an intuitive password system that combines muscle activation to enhance password complexity. The muscle activation levels from EMG signals are used to split each individual code composition into multiple states, thereby increasing possible password combinations. We proposed a centroid-based clustering algorithm to cluster a feature into groups according to the muscle activation. We also verified the possibility of expanding the technique to support up to three muscle activation levels in the experiment. By utilizing the proposed method, the number of possible input key combination is increased from 256 to 810,000 with three muscle levels.