Quantitative indoor monitoring, in a low-invasive and accurate way, is still an unmet need in
clinical practice. Indoor environments are more challenging than outdoor environments, and …

In this paper, we compare the performances of impulse radio ultra-wideband (IR-UWB) and
frequency modulation continuous wave (FMCW) radars in measuring noncontact vital signs …

Conventional radar-based people counting systems are designed mainly for dense spatial
distributions in a small region of interest (ROI). Therefore, a system with only conventional …

This paper presents a comprehensive dataset intended to evaluate passive Human Activity
Recognition (HAR) and localization techniques with measurements obtained from …

In recent years, significant breakthroughs have been achieved in hyperspectral image (HSI)
processing using deep learning techniques, including classification, object detection, and …

We propose a novel algorithm to identify occupied seats in a motor vehicle, ie, the number of
occupants and their positions, using a frequency modulated continuous wave radar. Instead …

A non-contact, non-invasive monitoring system to measure and estimate the heart and
breathing rate of humans using a frequency-modulated continuous wave (FMCW) mm-wave …

With the development of deep learning (DL) frameworks in the field of pattern recognition,
DL-based algorithms have outperformed handcrafted feature (HF)-based ones in various …

This exciting new resource covers various emerging applications of short range radars,
including people counting and tracking, gesture sensing, human activity recognition, air …

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 …