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

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' …

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 …

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 …

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

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 …

In this paper, a real-time signal processing framework based on a 60 GHz frequency-
modulated continuous wave (FMCW) radar system to recognize gestures is proposed. In …

Fall is a challenging task that poses a great danger to the elderly person's health as they
carry out their daily routines and activities and could lead to serious injuries, long …