[HTML][HTML] Detecting driver fatigue using heart rate variability: A systematic review

K Lu, AS Dahlman, J Karlsson, S Candefjord - Accident Analysis & …, 2022 - Elsevier
Driver fatigue detection systems have potential to improve road safety by preventing crashes
and saving lives. Conventional driver monitoring systems based on driving performance and …

A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges

AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

Age and sex estimation using artificial intelligence from standard 12-lead ECGs

ZI Attia, PA Friedman, PA Noseworthy… - Circulation …, 2019 - Am Heart Assoc
Background: Sex and age have long been known to affect the ECG. Several biologic
variables and anatomic factors may contribute to sex and age-related differences on the …

Evolution, current challenges, and future possibilities in ECG biometrics

JR Pinto, JS Cardoso, A Lourenço - Ieee Access, 2018 - ieeexplore.ieee.org
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …

BAED: A secured biometric authentication system using ECG signal based on deep learning techniques

AJ Prakash, KK Patro, M Hammad… - Biocybernetics and …, 2022 - Elsevier
Biometric authentication technology has become increasingly common in our daily lives as
information protection and control regulation requirements have grown worldwide. A …

PEA: Parallel electrocardiogram-based authentication for smart healthcare systems

Y Zhang, R Gravina, H Lu, M Villari, G Fortino - Journal of Network and …, 2018 - Elsevier
Currently, ECG-based authentication is considered highly promising in terms of user
identification for smart healthcare systems because of its inimitability, suitability, accessibility …

Ecg biometric authentication: A comparative analysis

M Ingale, R Cordeiro, S Thentu, Y Park… - IEEE Access, 2020 - ieeexplore.ieee.org
Robust authentication and identification methods become an indispensable urgent task to
protect the integrity of the devices and the sensitive data. Passwords have provided access …

Automatic driver sleepiness detection using EEG, EOG and contextual information

S Barua, MU Ahmed, C Ahlström, S Begum - Expert systems with …, 2019 - Elsevier
The many vehicle crashes that are caused by driver sleepiness each year advocates the
development of automated driver sleepiness detection (ADSD) systems. This study …

Using convolutional neural network and a single heartbeat for ECG biometric recognition

DA AlDuwaile, MS Islam - Entropy, 2021 - mdpi.com
The electrocardiogram (ECG) signal has become a popular biometric modality due to
characteristics that make it suitable for developing reliable authentication systems. However …

A deep learning technique for biometric authentication using ECG beat template matching

AJ Prakash, KK Patro, S Samantray, P Pławiak… - Information, 2023 - mdpi.com
An electrocardiogram (ECG) is a unique representation of a person's identity, similar to
fingerprints, and its rhythm and shape are completely different from person to person …