Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …

Electrocardiogram signals acquired through a steering wheel could be the key to seamless,
highly comfortable, and continuous human recognition in driving settings. This paper …

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 …

In this work, a nonfiducial electrocardiogram (ECG) identification algorithm based on
statistical features and random forest classifier is presented. Two feature extraction …

The ECG signal conveys desirable characteristics for biometric identification (universality,
uniqueness, measurability, acceptability and circumvention avoidance). However, based on …

A Wireless Body Area Network (WBAN) is a network of wirelessly connected sensing and
actuating devices. WBANs used for recording biometric information and administering …

The electrocardiogram has gained traction as a biometric trait due to its outstanding
combination of universality, permanence, and measurability, with a hidden nature that …

Referential compression is one of the fundamental operations for storing and analyzing DNA
data. The models that incorporate relative compression, a special case of referential …

In this paper, the authors provide a detailed overview and technical discussion and analysis
of the latest research trends in securing body sensor networks. The core of this work aims …

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 …