According to the real-living environment, radar-based human activity recognition (HAR) is
dedicated to recognizing and classifying a sequence of activities rather than individual …

Previously, the 2-D convolutional neural networks (2-D-CNNs) have been introduced to
classify the human activity based on micro-Doppler radar. Whereas these methods can …

This paper proposes an adaptive digital beamforming (ADBF) algorithm to realize non-
contact multi-person vital sign detection using a frequency modulated continuous wave …

Continuous Activities of Daily Living (ADL) recognition in an arbitrary movement direction
using five distributed pulsed Ultra-Wideband (UWB) radars in a coordinated network is …

Smart health calls for novel approaches to detect vital signs in non-contact, non-invasive
and non-intrusive matters. In this work, we design a solution that monitors the rates of …

Impulse radio ultrawideband (IR-UWB) radar has the advantages of low cost, high
resolution, and independence of light and weather conditions. Its potential in human activity …

The application of radar technology in indoor people monitoring has opened up new
avenues, such as localization and tracking, vital signs monitoring, and fall detection …

Recently, non-contact vital sign estimating devices, which are used for health monitoring,
have gradually gained interest among researchers. However, most of these devices have …

Human respiration state is an important indicator to reflect health conditions. Recent
advances in wireless human sensing have enabled device-free respiration monitoring using …

Low-complexity and privacy-respecting human sensing is a challenging task in smart
environments as it requires the orchestration of multiple sensors, low-impact machine …