The increasing bandwidth requirement of new wireless applications has lead to
standardization of the millimeter wave spectrum for high-speed wireless communication …

Due to the ubiquitous deployment of wireless infrastructures, the radio signal nature of
invisibility, and the elimination of the line-of-sight requirement, it has drawn increasing …

In this work, we present a cloud-based system for noncontact, real-time recognition, and
monitoring of physical activities and walking periods within a domestic environment. The …

mmWave radar-based gait recognition is a novel user identification method that captures
human gait biometrics from mmWave radar return signals. This technology offers privacy …

In this paper, a framework for simultaneous tracking and recognizing drone targets using a
low-cost and small-sized millimeter-wave radar is presented. The radar collects the reflected …

Human identification plays a vital role in daily lives. A majority of biometric technologies
require the active cooperation of humans, while gait recognition does not. Compared with …

The article is devoted to the development of algorithms for radar data processing of
continuous-wave radars using convolutional neural networks. The aim of the work is to …

This paper presents a novel method for human gait analysis in cluttered in-home
environments using mm-wave radar systems, leveraging novel signal processing and …

Wireless signals, ubiquitous and capable of penetrating obstacles, are increasingly
exploited to infer personal information such as vital signs, human activities, and crowd …

Human Activity Recognition (HAR) is becoming increasingly useful for applications such as
well-being monitoring and personalizing smart spaces. Traditional methods for HAR often …