In the last decades, researchers have shown the potential of using Electrocardiogram (ECG)
as a biometric trait due to its uniqueness and hidden nature. However, despite the great …

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 …

We present an innovative and robust solution to both biometric and emotion identification
using the electrocardiogram (ECG). The ECG represents the electrical signal that comes …

Multimodal biometric recognition involves two critical issues: feature representation and
multimodal fusion. Traditional feature representation requires complex image preprocessing …

Security and privacy concerns are challenging the way users interact with devices. The
number of devices connected to a home or enterprise network increases every day …

Electrocardiographic (ECG) signals have been used for clinical purposes for a long time.
Notwithstanding, they may also be used as the input for a biometric identification system …

The DNA from several organisms is sequenced conjointly in metagenomics. This allows
searching for exogenous microorganisms contained in the samples, with the goal of …

The normalized relative compression (NRC) is a recent dissimilarity measure, related to the
Kolmogorov complexity. It has been successfully used in different applications, like DNA …

An electrocardiogram (ECG) is an electrical record of heart activity. ECG compression is the
biggest concern for many applications in the biomedical community. ECG lossless …

Due to its characteristics, there is a trend in biometrics to use the ECG signal for personal
identification. There are different applications for this, namely, adapting entertainment …