Unconstrained human activities recognition with a radar network is considered. A hybrid
classifier combining both convolutional neural networks (CNNs) and recurrent neural …

Radar-based human motion and activity recognition is currently a topic of great research
interest, as the aging population increases and older individuals prefer an independent …

The need for technologies for Human Activity Recognition (HAR) in home environments is
becoming more and more urgent because of the aging population worldwide. Radar-based …

This paper proposes a novel time-space dimension reduction method for millimeter-wave
radar point-clouds on long-distance or large-field-of-view hand-gesture recognition. First, a …

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 …

Radar-based solutions have attracted great attention in human activity recognition (HAR) for
their advantages in accuracy, robustness, and privacy protection. The conventional …

Millimeter-wave radar has demonstrated its high efficiency in complex environments in
recent years, which outperforms LiDAR and computer vision in human activity recognition in …

As a noncontact and noninvasive sensor, radar offers attractive modality for human motion
recognition in many fields, such as surveillance, smart homes, and assisted living. As a …

The monitoring of human activity and vital signs plays a significant role in remote health-
care. Radar provides a non-contact monitoring approach without privacy and illumination …

Driven by its contactless sensing capabilities and the lack of optical images being recorded,
radar technology has been recently investigated in the context of human healthcare. This …