Due to the development of the novel materials, the past two decades have witnessed the
rapid advances of soft electronics. The soft electronics have huge potential in the physical …

While the Internet of Things (IoT) devices, such as smartwatches, provide a range of services
from managing financial transactions to monitoring smart homes, these devices often lead to …

The electrocardiogram (ECG) is a type of biometric data that has recently attracted a lot of
attention as a potentially useful biometric trait due to its high discriminatory power. However …

The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

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 …

Accurate classification of electrocardiogram (ECG) signals is of significant importance for
automatic diagnosis of heart diseases. In order to enable intelligent classification of …

In this paper, we examine continuous authentication for IoT devices using real-time
biometrics of a person's electrocardiogram (ECG) and electromyography (EMG). ECG is …

ECGs have shown unique patterns to distinguish between different subjects and present
important advantages compared to other biometric traits. However, the lack of public data …

The correct identification of individuals through different biometric traits is becoming
increasingly important. Apart from traditional biomarkers (like fingerprints), many alternative …

User authentication has become necessary in different life domains. Traditional
authentication methods like personal information numbers (PINs), password ID cards, and …