Evolution, current challenges, and future possibilities in ECG biometrics
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …
reliable recognition in diverse applications. Commercial products using these traits for …
Electrocardiogram-based biometrics for user identification–Using your heartbeat as a digital key.
ARJ Mitchell, D Ahlert, C Brown, M Birge… - Journal of …, 2023 - Elsevier
External biometrics such as thumbprint and facial recognition have become standard tools
for securing our digital devices and protecting our data. These systems, however, are …
for securing our digital devices and protecting our data. These systems, however, are …
Towards a continuous biometric system based on ECG signals acquired on the steering wheel
Electrocardiogram signals acquired through a steering wheel could be the key to seamless,
highly comfortable, and continuous human recognition in driving settings. This paper …
highly comfortable, and continuous human recognition in driving settings. This paper …
A novel temporal generative adversarial network for electrocardiography anomaly detection
Cardiac abnormality detection from Electrocardiogram (ECG) signals is a common task for
cardiologists. To facilitate efficient and objective detection, automated ECG classification by …
cardiologists. To facilitate efficient and objective detection, automated ECG classification by …
Check your biosignals here: A new dataset for off-the-person ECG biometrics
Abstract The Check Your Biosignals Here initiative (CYBHi) was developed as a way of
creating a dataset and consistently repeatable acquisition framework, to further extend …
creating a dataset and consistently repeatable acquisition framework, to further extend …
ECG signals for biometric applications-are we there yet?
The potential of the electrocardiographic (ECG) signal as a biometric trait has been
ascertained in the literature over the past decade. The inherent characteristics of the ECG …
ascertained in the literature over the past decade. The inherent characteristics of the ECG …
A novel smart chair system for posture classification and invisible ECG monitoring
L Pereira, H Plácido da Silva - Sensors, 2023 - mdpi.com
In recent years, employment in sedentary occupations has continuously risen. Office workers
are more prone to prolonged static sitting, spending 65–80% of work hours sitting …
are more prone to prolonged static sitting, spending 65–80% of work hours sitting …
Liveness detection and automatic template updating using fusion of ECG and fingerprint
M Komeili, N Armanfard… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Fingerprints have been extensively used for biometric recognition around the world.
However, fingerprints are not secrets, and an adversary can synthesis a fake finger to spoof …
However, fingerprints are not secrets, and an adversary can synthesis a fake finger to spoof …
ECG authentication hardware design with low-power signal processing and neural network optimization with low precision and structured compression
Biometrics such as facial features, fingerprint, and iris are being used increasingly in modern
authentication systems. These methods are now popular and have found their way into …
authentication systems. These methods are now popular and have found their way into …
CardioWheel: ECG biometrics on the steering wheel
Monitoring physiological signals while driving is a recent trend in the automotive industry.
We present CardioWheel, a state-of-the-art machine learning solution for driver biometrics …
We present CardioWheel, a state-of-the-art machine learning solution for driver biometrics …