Background During last decade the use of ECG recordings in biometric recognition studies
has increased. ECG characteristics made it suitable for subject identification: it is unique …

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

Heartbeats based random binary sequences (RBSs) are the backbone for several security
aspects in wireless body sensor networks (WBSNs). However, current heartbeats based …

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

Identity recognition faces several challenges especially in extracting an individual's unique
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …

Abstract The Check Your Biosignals Here initiative (CYBHi) was developed as a way of
creating a dataset and consistently repeatable acquisition framework, to further extend …

Over the past few years, the evaluation of Electrocardio-graphic (ECG) signals as a
prospective biometric modality has revealed promising results. Given the vital and …

The field of biometrics is a pattern recognition problem, where the individual traits are coded,
registered, and compared with other database records. Due to the difficulties in reproducing …

An empirical investigation of active/continuous authentication for smartphones is presented
by exploiting users' unique application usage data, ie, distinct patterns of use, modeled by a …

Security research on smart cities mostly focuses on the communication of “things” and rarely
focuses on the interaction between “things” and people. Security breaches at this lower level …