In recent years, biometrics (eg, fingerprint or face recognition) has replaced traditional
passwords and PINs as a widely used method for user authentication, particularly in …

In the last few years researchers have focused more on non-intrusive based frameworks to
measure Heart Rate. This is because of the ease and lack of expense in utilization. RGB …

With the advent of various security attacks, biometric authentication methods are gaining
momentum in the security literature. Electrocardiogram or ECG signals are one of the …

This paper addresses the problem of recovering the shape morphology of blood volume
pulse (BVP) information from a video of a person's face. Video-based remote …

This paper considers signals from the cardiovascular system for possible use in biometric
authentication. The signals of particular interest here derive from photoplethysmography …

For good performance, most existing electrocardiogram (ECG) identification methods still
need to adopt a denoising process to remove noise interference beforehand. This specific …

Background and objective ECG is one of the biometric signals that has been studied in peer-
reviewed over past years. The developments on the signal analysis methods show that the …

Electrocardiogram (ECG) signal identification technology is rapidly replacing traditional
fingerprint, face, iris and other recognition technologies, avoiding the vulnerability of …

Human factors research in transportation relies on naturalistic driving studies (NDS) which
collect real-world data from drivers on actual roads. NDS data offer valuable insights into …

This work presents an ECG biometric recognition system for the purpose of biometric
authentication. ECG biometric approaches are divided into two major categories, fiducial …