A Review of the State of the Art in Non-Contact Sensing for COVID-19
COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no
approved vaccination or treatment, governments around the world have issued guidance to …
approved vaccination or treatment, governments around the world have issued guidance to …
[HTML][HTML] Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
An intelligent non-invasive real-time human activity recognition system for next-generation healthcare
Human motion detection is getting considerable attention in the field of Artificial Intelligence
(AI) driven healthcare systems. Human motion can be used to provide remote healthcare …
(AI) driven healthcare systems. Human motion can be used to provide remote healthcare …
Continuous human activity recognition with distributed radar sensor networks and CNN–RNN architectures
Unconstrained human activities recognition with a radar network is considered. A hybrid
classifier combining both convolutional neural networks (CNNs) and recurrent neural …
classifier combining both convolutional neural networks (CNNs) and recurrent neural …
Patient activity recognition using radar sensors and machine learning
Indoor human activity recognition is actively studied as part of creating various intelligent
systems with applications in smart home and office, smart health, internet of things, etc …
systems with applications in smart home and office, smart health, internet of things, etc …
Non-contact monitoring and classification of breathing pattern for the supervision of people infected by COVID-19
During the pandemic of coronavirus disease-2019 (COVID-19), medical practitioners need
non-contact devices to reduce the risk of spreading the virus. People with COVID-19 usually …
non-contact devices to reduce the risk of spreading the virus. People with COVID-19 usually …
Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit
G Beltrão, R Stutz, F Hornberger, WA Martins… - Scientific Reports, 2022 - nature.com
Vital sign monitoring systems are essential in the care of hospitalized neonates. Due to the
immaturity of their organs and immune system, premature infants require continuous …
immaturity of their organs and immune system, premature infants require continuous …
Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
Sequential human gait classification with distributed radar sensor fusion
This paper presents different information fusion approaches to classify human gait patterns
and falls in a radar sensors network. The human gaits classified in this work are both …
and falls in a radar sensors network. The human gaits classified in this work are both …
Discrete human activity recognition and fall detection by combining FMCW RADAR data of heterogeneous environments for independent assistive living
Human activity monitoring is essential for a variety of applications in many fields, particularly
healthcare. The goal of this research work is to develop a system that can effectively detect …
healthcare. The goal of this research work is to develop a system that can effectively detect …