Individual identification via electrocardiogram analysis

A Fratini, M Sansone, P Bifulco, M Cesarelli - Biomedical engineering …, 2015 - Springer
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 …

Biometric systems utilising health data from wearable devices: applications and future challenges in computer security

S Khan, S Parkinson, L Grant, N Liu… - ACM Computing Surveys …, 2020 - dl.acm.org
Health data are being increasingly sensed from the health-based wearable Internet of
Things (IoT) devices, providing much-needed fitness and health tracking. However, data …

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 …

Cardiac scan: A non-contact and continuous heart-based user authentication system

F Lin, C Song, Y Zhuang, W Xu, C Li… - Proceedings of the 23rd …, 2017 - dl.acm.org
Continuous authentication is of great importance to maintain the security level of a system
throughout the login session. The goal of this work is to investigate a trustworthy, continuous …

ECG authentication for mobile devices

JS Arteaga-Falconi, H Al Osman… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Traditional mobile login methods, like numerical or graphical passwords, are vulnerable to
passive attacks. It is common for intruders to gain access to personal information of their …

ECG authentication system design incorporating a convolutional neural network and generalized S-Transformation

Z Zhao, Y Zhang, Y Deng, X Zhang - Computers in biology and medicine, 2018 - Elsevier
Electrocardiogram (ECG) is gaining increased attention as a biometric method in a wide
range of applications, such as access control and security/privacy requirements. The …

Highly reliable key generation from electrocardiogram (ECG)

N Karimian, Z Guo, M Tehranipoor… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Traditional passwords are inadequate as cryptographic keys, as they are easy to forge and
are vulnerable to guessing. Human biometrics have been proposed as a promising …

ECG-based biometric authentication using empirical mode decomposition and support vector machines

S Aziz, MU Khan, ZA Choudhry… - 2019 IEEE 10th …, 2019 - ieeexplore.ieee.org
Electrocardiogram (ECG) is an electric signal of cardiac activity posing highly discriminative
properties related to human recognition. ECG based authentication has gained much …

Non-contact heart rate and blood pressure estimations from video analysis and machine learning modelling applied to food sensory responses: A case study for …

C Gonzalez Viejo, S Fuentes, DD Torrico, FR Dunshea - Sensors, 2018 - mdpi.com
Traditional methods to assess heart rate (HR) and blood pressure (BP) are intrusive and can
affect results in sensory analysis of food as participants are aware of the sensors. This paper …

Finger ECG signal for user authentication: Usability and performance

HP Da Silva, A Fred, A Lourenço… - 2013 IEEE Sixth …, 2013 - ieeexplore.ieee.org
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 …