Radar, as one of the sensors for human activity recognition (HAR), has unique
characteristics such as privacy protection and contactless sensing. Radar-based HAR has …

Falling or tripping among elderly people living on their own is recognized as a major public
health worry that can even lead to death. Fall detection systems that alert caregivers, family …

In this paper, we propose an approach that uses deep learning to detect a human fall. The
proposed approach automatically captures the intricate properties of the radar returns. In …

Automatic detection of a falling person based on noncontact sensing is a challenging
problem with applications in smart homes for elderly care. In this article, we propose a radar …

This article concerns the issue of how to combine the multidomainradar information,
including range–Doppler, time–Doppler, and time–range, for human activity recognition …

Automatic fall detection using radar aids in better assisted living and smarter health care. In
this brief, a novel time series-based method for detecting fall incidents in human daily …

Human motion recognition is crucial for surveillance, search and rescue operation, smart
homes, and senior care. In daily life, there exists various kinds of human motions with widely …

Radar technology for at home health-care has many advantages such as safety, reliability,
privacy-preserving, and contact-less sensing nature. Detecting falls using radar has recently …

Falls are the major cause of accidents in the elderly population. Propelled by their non-
intrusive sensing capabilities and robustness to heat and lighting conditions, radar-based …

Human falls occur rarely; however, they can lead to severe consequences if not addressed
immediately. With the rise of nuclear families, there has been a significant increase in the …