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 …

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 …

Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …

Electrocardiogram signals acquired through a steering wheel could be the key to seamless,
highly comfortable, and continuous human recognition in driving settings. This paper …

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 …

We propose a practical system design for biometrics authentication based on
electrocardiogram (ECG) signals collected from mobile or wearable devices. The ECG …

This paper presents hybrid approaches for human identification based on electrocardiogram
(ECG). The proposed approaches consist of four phases, namely data acquisition …

Electrocardiography (ECG) is the process of recording the electrical activity of the human
heart over time using electrodes that are placed over the skin. While the primary usage of …

In the past decades, the electrocardiogram (ECG) has been investigated as a promising
biometric by exploiting the subtle discrepancy of ECG signals between subjects. However …

In this work, a nonfiducial electrocardiogram (ECG) identification algorithm based on
statistical features and random forest classifier is presented. Two feature extraction …