Finger vein recognition biometric trait is a significant biometric modality that is considered
more secure, reliable, and emerging. This article presents a review to focus on the recent …

Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

Biometric identification via Electrocardiogram (ECG) signals, which can be captured by
devices with ECG sensors, have been explored for human identification for decades …

The Internet of Things (IoT) is increasingly empowering people with an interconnected world
of physical objects ranging from smart buildings to portable smart devices, such as …

Biometric identification depends on the statistical analysis of the unique physical and
behavioral characteristics of individuals. However, a unimodal biometric system is …

Sudden cardiac death is the result of abnormal heart conditions. Therefore, early detection
of such abnormal conditions is vital to identify heart problems. Hence, in this paper, we aim …

There has been an increasing prevalence of ad-hoc networks for various purposes and
applications. These include Low Power Wide Area Networks (LPWAN) and Wireless Body …

The introduction of the Internet of Things (IoT) has made several emerging applications, from
financial transactions to property access, possible through IoT-connected smart wearables …

This paper aims to provide a brief review of the feature extraction methods applied for finger
vein recognition. The presented study is designed in a systematic way in order to bring light …

Abstract Electrocardiogram (ECG) and Photoplethysmogram (PPG) are derived from
electrical signals of the heart activities and frequently used to diagnose and monitor …