This paper proposes an innovative machine-learning-based method to extract compact,
accurate, and adequate human radio frequency signature in residential environment. Our …

Human occupancy in an enclosed space can cause variation of the passive radio frequency
(RF) spectrum. To assess the RF spectrum variation, a cognitive radio (CR) based human …

Human identification is vital in health monitoring, human-computer interaction, safety
detection, and other fields. Compared with traditional vision-based methods, millimeter wave …

Speaker Authentication is the identification of a user from voice biometrics and has a wide
range of applications such as banking security, human computer interaction and ambient …

Benefiting from the rapid development of computer hardware and big data, deep neural
networks (DNNs) have been widely applied in commercial speaker recognition systems …

Nowadays, advanced forgery and spoofing techniques are threatening the reliability of
conventional biometric modalities. This has been motivating the recent investigation of a …

Radio frequency fingerprints (RFFs) refer to the unique characteristics of signals transmitted
by each emitter, which are valuable for physical layer security. Despite the fact that deep …

RF fingerprint recognition is an emerging technology for identifying specific hardware
features of wireless transmitters. In order to solve the problem of illegal transmitter …

Biometrics authentication is a very popular method to authorize a person to a system,
device, or data. Fingerprints, Retina, Iris, Face, Voice, etc. are the most used Biometrics …

Abstract Recent years Vision Transformers (ViTs) have gained significant attention in the
field of computer vision for their impressive performance in various tasks, including image …