A Survey on AI-based ECG, PPG, and PCG Signals Based Biometric Authentication System

Abstract

As technology has advanced, so have the electronic crimes in user’s private data. The use of authentication models like face, finger, iris recognition, voice, and other physiological and behavioral verification technologies overcoming traditional security methods like passwords and PIN has been the subject of extensive research lately. A significant amount of research now focuses on physiological signals. Since their advantages of exhibiting identity discrimination power and being acquired only from living bodies avoids the risks of faking someone’s data. This paper aims to briefly address biosignals-based biometric authentication, dominating former conventional technologies as they face compromised quality or resolution of collected photos and security threats like spoofing and copying. A summary of the electrocardiogram (ECG), photoplethysmogram (PPG), and phonocardiogram (PCG) along with their advantages and limitations is provided in this paper.