Biometric recognition: A systematic review on electrocardiogram data acquisition methods
In the last decades, researchers have shown the potential of using Electrocardiogram (ECG)
as a biometric trait due to its uniqueness and hidden nature. However, despite the great …
as a biometric trait due to its uniqueness and hidden nature. However, despite the great …
[HTML][HTML] Deep Generative Models: The winning key for large and easily accessible ECG datasets?
Large high-quality datasets are essential for building powerful artificial intelligence (AI)
algorithms capable of supporting advancement in cardiac clinical research. However …
algorithms capable of supporting advancement in cardiac clinical research. However …
Recognition system using fusion normalization based on morphological features of post-exercise ECG for intelligent biometrics
Although biometrics systems using an electrocardiogram (ECG) have been actively
researched, there is a characteristic that the morphological features of the ECG signal are …
researched, there is a characteristic that the morphological features of the ECG signal are …
[HTML][HTML] ECG-based biometric recognition under exercise and rest situations
As a core technology in the field of information security, human biometric recognition has
become the focus of researchers' attention during the past few years, which is based on a …
become the focus of researchers' attention during the past few years, which is based on a …
Unobtrusive and continuous BCG-based human identification using a microbend fiber sensor
Biometric-based human identification has been investigated and applied in daily life
applications, but some of them meet fundamental limitations, eg, highly sensitive to the …
applications, but some of them meet fundamental limitations, eg, highly sensitive to the …
A key to your heart: Biometric authentication based on ECG signals
N Samarin, D Sannella - arXiv preprint arXiv:1906.09181, 2019 - arxiv.org
In recent years, there has been a shift of interest towards the field of biometric authentication,
which proves the identity of the user using their biological characteristics. We explore a …
which proves the identity of the user using their biological characteristics. We explore a …
Electrical impedance of upper limb enables robust wearable identity recognition against variation in finger placement and environmental factors
Most biometric authentication technologies commercialized in various fields mainly rely on
acquired images of structural information, such as fingerprints, irises, and faces. However …
acquired images of structural information, such as fingerprints, irises, and faces. However …
Brain biometrics under auditory stimulation for human identity recognition
SNA Seha - 2021 - search.proquest.com
The demand for security and user authentication has recently become an essential part of all
aspects of our lives thus increasing the popularity of biometric recognition. As this …
aspects of our lives thus increasing the popularity of biometric recognition. As this …
Post-exercise electrocardiogram identification system using normalized tachycardia based on P, T wave
Electrocardiograms are generated by electrical signals, and therefore individual
electrocardiogram signals can vary according to the measurement environment that is …
electrocardiogram signals can vary according to the measurement environment that is …
Multi-modal authentication using score fusion of ECG and fingerprints
YB Kwon, J Kim - Journal of information and communication …, 2020 - dbpia.co.kr
Biometric technologies have become widely available in many different fields. However,
biometric technologies using existing physical features such as fingerprints, facial features …
biometric technologies using existing physical features such as fingerprints, facial features …