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 …
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 …
Semisupervised human activity recognition with radar micro-Doppler signatures
Human activity recognition (HAR) plays a vital role in many applications, such as
surveillance, in-home monitoring, and health care. Portable radar sensor has been …
surveillance, in-home monitoring, and health care. Portable radar sensor has been …
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 …
Activity classification based on feature fusion of FMCW radar human motion micro-Doppler signatures
FJ Abdu, Y Zhang, Z Deng - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Fall is a challenging task that poses a great danger to the elderly person's health as they
carry out their daily routines and activities and could lead to serious injuries, long …
carry out their daily routines and activities and could lead to serious injuries, long …
DIAT-RadHARNet: A lightweight DCNN for radar based classification of human suspicious activities
M Chakraborty, HC Kumawat… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recognizing suspicious human activities is one of the critical requirements for national
security considerations. Nowadays, designing the deep convolution neural network (DCNN) …
security considerations. Nowadays, designing the deep convolution neural network (DCNN) …
Radar-based human activity recognition with adaptive thresholding towards resource constrained platforms
Radar systems are increasingly being employed in healthcare applications for human
activity recognition due to their advantages in terms of privacy, contactless sensing, and …
activity recognition due to their advantages in terms of privacy, contactless sensing, and …
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 …
A lightweight hybrid vision transformer network for radar-based human activity recognition
S Huan, Z Wang, X Wang, L Wu, X Yang, H Huang… - Scientific Reports, 2023 - nature.com
Radar-based human activity recognition (HAR) offers a non-contact technique with privacy
protection and lighting robustness for many advanced applications. Complex deep neural …
protection and lighting robustness for many advanced applications. Complex deep neural …
The Human Activity Radar Challenge: Benchmarking Based on the 'Radar Signatures of Human Activities' Dataset From Glasgow University
Radar is an extremely valuable sensing technology for detecting moving targets and
measuring their range, velocity, and angular positions. When people are monitored at home …
measuring their range, velocity, and angular positions. When people are monitored at home …