Radar and RGB-depth sensors for fall detection: A review

E Cippitelli, F Fioranelli, E Gambi… - IEEE Sensors …, 2017 - ieeexplore.ieee.org
This paper reviews recent works in the literature on the use of systems based on radar and
RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research …

FallDeFi: Ubiquitous fall detection using commodity Wi-Fi devices

S Palipana, D Rojas, P Agrawal, D Pesch - Proceedings of the ACM on …, 2018 - dl.acm.org
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 …

Toward unobtrusive in-home gait analysis based on radar micro-Doppler signatures

AK Seifert, MG Amin, AM Zoubir - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Objective: In this paper, we demonstrate the applicability of radar for gait classification with
application to home security, medical diagnosis, rehabilitation, and assisted living. Aiming at …

A millimetre-wave radar-based fall detection method using line kernel convolutional neural network

B Wang, L Guo, H Zhang, YX Guo - IEEE sensors journal, 2020 - ieeexplore.ieee.org
Fall accidents are significant threats to the health and life of older people. When a millimetre-
wave (mmWave) frequency modulated continuous wave (FMCW) radar is used for fall …

Fall detection system using millimeter-wave radar based on neural network and information fusion

Y Yao, C Liu, H Zhang, B Yan, P Jian… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Falls are fatal for the elderly, and timely detection after falls is crucial. As a contactless
device, the radar sensor can monitor users' falls with the advantage of not revealing their …

Millimeter-wave frequency modulated continuous wave radar-based soft fall detection using pattern contour-confined Doppler-time maps

B Wang, Z Zheng, YX Guo - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Fall accidents are one of the leading causes of non-natural death of older people. It is
necessary to design and implement fall detection systems in older people's homes. Among …

Non-contact human motion recognition based on UWB radar

C Ding, L Zhang, C Gu, L Bai, Z Liao… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
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 …

Range-Doppler radar sensor fusion for fall detection

B Erol, MG Amin, B Boashash - 2017 IEEE Radar Conference …, 2017 - ieeexplore.ieee.org
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 …

State-of-the-art radar technology for remote human fall detection: a systematic review of techniques, trends, and challenges

RC Tewari, A Routray, J Maiti - Multimedia Tools and Applications, 2024 - Springer
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 …

Radar-based soft fall detection using pattern contour vector

B Wang, H Zhang, YX Guo - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) technologies reserves a large latent capacity in dealing with the
emerging fall detection problem of elder people. The radar-based IoT methods are …