Micro-Doppler based target recognition with radars: A review
With the deployment of radar in versatile scenarios and a wide variety of potential targets,
demand for automatic classification of various targets is increasing. The wide variety of radar …
demand for automatic classification of various targets is increasing. The wide variety of radar …
Contactless WiFi sensing and monitoring for future healthcare-emerging trends, challenges, and opportunities
WiFi sensing has received recent and significant interest from academia, industry,
healthcare professionals, and other caregivers (including family members) as a potential …
healthcare professionals, and other caregivers (including family members) as a potential …
Noninvasive human activity recognition using millimeter-wave radar
The millimeter-wave (mmWave) radar technology has attracted significant attention because
it is susceptible to environmental lighting, wall shielding, and privacy concern. This article …
it is susceptible to environmental lighting, wall shielding, and privacy concern. This article …
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 …
Human activity classification based on point clouds measured by millimeter wave MIMO radar with deep recurrent neural networks
Y Kim, I Alnujaim, D Oh - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
We investigate the feasibility of classifying human activities measured by a MIMO radar in
the form of a point cloud. If a human subject is measured by a radar system that has a very …
the form of a point cloud. If a human subject is measured by a radar system that has a very …
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) …
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 …
A survey on radar-based continuous human activity recognition
Radar-based human motion and activity recognition is currently a topic of great research
interest, as the aging population increases and older individuals prefer an independent …
interest, as the aging population increases and older individuals prefer an independent …
DIAT-μ RadHAR (micro-doppler signature dataset) & μ RadNet (a lightweight DCNN)—For human suspicious activity recognition
In the view of national security, radar micro-Doppler (mD) signatures-based recognition of
suspicious human activities becomes significant. In connection to this, early detection and …
suspicious human activities becomes significant. In connection to this, early detection and …