Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

Over the past few decades, there has been tremendous development in machine learning
paradigms used in automatic speech recognition (ASR) for home automation to space …

In this paper we present ensembles of classifiers for automated animal audio classification,
exploiting different data augmentation techniques for training Convolutional Neural …

Research in sound classification and recognition is rapidly advancing in the field of pattern
recognition. One important area in this field is environmental sound recognition, whether it …

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 …

A vast amount of growth has taken place in the field of biometrics and in the healthcare
industry. Biometrics provides the ability to identify individuals based on their physical and …

Biometric systems are used for the verification and identification of individuals using their
physiological or behavioral features. These features can be categorized into unimodal and …

Biometric identity verification refers to technologies used to measure human physical or
behavioral characteristics, which offer a radical alternative to passports, ID cards, driving …

Electrocardiogram (ECG) signals from mobile sensors are expected to increase the
availability of authentication in the emerging wearable device industry. However, mobile …

Physical-layer identification utilizes unique features of wireless devices as their fingerprints,
providing authenticity and security guarantee. Prior physical-layer identification techniques …