Conventional electromagnetic (EM) sensing techniques such as radar and LiDAR are widely
used for remote sensing, vehicle applications, weather monitoring, and clinical monitoring …

Networks of multiple radars are typically used for improving the coverage and tracking
accuracy. Recently, such networks have facilitated deployment of commercial radars for …

In this tutorial paper, we systematically present the fundamental operating principles and
analytical details of the discrete Fourier transform based signal processing techniques for …

Abstract The Internet of Things (IoT) Healthcare system has become one of the most
indispensable parts of human lives, and this has dramatically increased the medical …

Recognition of human movements with radar for ambient activity monitoring is a developed
area of research that yet presents outstanding challenges to address. In real environments …

This paper presents a framework based on multilayer bi-LSTM network (bidirectional Long
Short-Term Memory) for multimodal sensor fusion to sense and classify daily activities' …

Advances and updates in medical applications utilizing microwave techniques and
technologies are reviewed in this paper. The article aims to provide an overview of enablers …

Human activity recognition (HAR) plays a vital role in many applications, such as
surveillance, in-home monitoring, and health care. Portable radar sensor has been …

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

Fall detection is a major challenge for researchers. Indeed, a fall can cause injuries such as
femoral neck fracture, brain hemorrhage, or skin burns, leading to significant pain. However …