Enhanced multimodal biometric recognition systems based on deep learning and traditional methods in smart environments

S A. El_Rahman, AS Alluhaidan - Plos one, 2024 - journals.plos.org
In the field of data security, biometric security is a significant emerging concern. The
multimodal biometrics system with enhanced accuracy and detection rate for smart …

Multimodal biometric systems based on different fusion levels of ECG and fingerprint using different classifiers

SA El_Rahman - Soft Computing, 2020 - Springer
Multimodal biometric system can be accomplished at different levels of fusion and achieve
higher recognition performance than the unimodal system. This paper concerned to study …

A multi-fusion IoT authentication system based on internal deep fusion of ECG signals

B Abd El-Rahiem, M Hammad - Security and Privacy Preserving for IoT …, 2022 - Springer
Recently, the interest in using wearable devices or the internet of things (IoT)-based
biometric authentication, especially IoT-based electrocardiogram (ECG) has increased. ECG …

Collaborative-set measurement for ECG-based human identification

W Li, Z Zhang, B Hou, A Song - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has attracted intense research interests and contests due to its
great value in biometric applications, especially with the technological progress of smart …

Stress influence on real-world driving identified by monitoring heart rate variability and morphologic variability of electrocardiogram signals: the case of intercity roads

S Rostamzadeh, A Abouhossein… - … of occupational safety …, 2024 - Taylor & Francis
Objectives. This study examines which of the heart rate variability (HRV) and morphologic
variability (MV) metrics may have the highest accuracy in different stress detection during …

Ecg biometrics via enhanced correlation and semantic-rich embedding

KK Wang, GP Yang, L Yang, YW Huang… - Machine Intelligence …, 2023 - Springer
Electrocardiogram (ECG) biometric recognition has gained considerable attention, and
various methods have been proposed to facilitate its development. However, one limitation …

Nisshash: Design of An IoT-based Smart T-Shirt for Guided Breathing Exercises

MA Al Rumon, V Suparna, M Seckin… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
Breathing exercises are gaining attention in managing anxiety and stress in daily life.
Diaphragmatic breathing, in particular, fosters tranquility for both body and mind. Existing …

ElectroCardioGuard: Preventing patient misidentification in electrocardiogram databases through neural networks

M Seják, J Sido, D Žahour - Knowledge-Based Systems, 2023 - Elsevier
Electrocardiograms (ECGs) are commonly used by cardiologists to detect heart-related
pathological conditions. Reliable collections of ECGs are crucial for precise diagnosis …

Multi-scale deep cascade bi-forest for electrocardiogram biometric recognition

YW Huang, GP Yang, KK Wang, HY Liu… - Journal of Computer …, 2021 - Springer
Electrocardiogram (ECG) biometric recognition has emerged as a hot research topic in the
past decade. Although some promising results have been reported, especially using sparse …

Turning waste into wealth: Person identification by emotion‐disturbed electrocardiogram

W Li, C Fang, Z Zhu, C Chen, A Song - IET Biometrics, 2023 - Wiley Online Library
The issue of electrocardiogram (ECG)‐based person identification has attracted intense
research interests nowadays. Different than existing related researches that advocate …