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 …

The millimeter-wave (mmWave) radar technology has attracted significant attention because
it is susceptible to environmental lighting, wall shielding, and privacy concern. This article …

Accurate human activity recognition (HAR) is the key to enable emerging context-aware
applications that require an understanding and identification of human behavior, eg …

Millimetre-wave (mmWave) radar has emerged as an attractive and cost-effective alternative
for human activity sensing compared to traditional camera-based systems. mmWave radars …

We investigate the feasibility of classifying human activities measured by a MIMO radar in
the form of a point cloud. If a human subject is measured by a radar system that has a very …

Natural human activity recognition (HAR) via millimeter wave (mmWave) sensing is a key to
the human-computer interaction (HCI), eg, activity assistance and living state monitoring …

In this paper, we propose a robust human sleep posture recognition method via
multidimensional feature representation and learning based on millimeter-wave (mmw) …

Recently, radar-based human activity recognition (HAR) has attracted the attention of
researchers as it has been proven that a deep learning (DL) model can be automatically …

Many deep learning (DL) models have shown exceptional promise in radar-based human
activity recognition (HAR) area. For radar-based HAR, the raw data is generally converted …

Deep learning techniques have attracted much attention in the radar automatic target
recognition. In this paper, we investigate an acceleration method of the convolutional neural …