[HTML][HTML] Monitoring activities of daily living using UWB radar technology: a contactless approach

S Klavestad, G Assres, S Fagernes, TM Grønli - IoT, 2020 - mdpi.com
In recent years, the ultra-wideband (UWB) radar technology has shown great potential in
monitoring activities of daily living (ADLs) for smart homes. In this paper, we investigate the …

Spatial-temporal-circulated GLCM and physiological features for in-vehicle people sensing based on IR-UWB radar

X Yang, Y Ding, X Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In-vehicle people sensing has received considerable attention for preventing overloading
and forgotten children. Impulse radio ultrawideband (IR-UWB) radar is widely applied in …

[HTML][HTML] Convolutional neural networks for the real-time monitoring of vital signs based on impulse radio ultrawide-band radar during sleep

SH Choi, H Yoon - Sensors, 2023 - mdpi.com
Vital signs provide important biometric information for managing health and disease, and it
is important to monitor them for a long time in a daily home environment. To this end, we …

Sample intercorrelation-based multidomain fusion network for aquatic human activity recognition using millimeter-wave radar

X Yu, Z Cao, Z Wu, C Song, Z Xu - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
To address the issue that the existing multidomain fusion methods do not consider data
correlation within mini-batch data, the first attempt is made in this letter to propose a method …

[HTML][HTML] Multi-sensor data fusion in a real-time support system for on-duty firefighters

VT Pham, QB Le, DA Nguyen, ND Dang, HT Huynh… - Sensors, 2019 - mdpi.com
While working on fire ground, firefighters risk their well-being in a state where any incident
might cause not only injuries, but also fatality. They may be incapacitated by unpredicted …

Capsule network with multiscale feature fusion for hidden human activity classification

X Wang, Y Wang, S Guo, L Kong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article considers the problem of human activity classification behind the walls using
ultrawideband (UWB) radar. The complex-valued multiscale feature fusion capsule network …

[HTML][HTML] 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 …

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 …

Mtrack: Tracking multiperson moving trajectories and vital signs with radio signals

D Zhang, Y Hu, Y Chen - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In this article, we propose a human sensing system with radio signals, MTrack, for in-home
healthcare, which is capable of tracking the trajectories of moving persons and vital signs of …

AI-powered noncontact in-home gait monitoring and activity recognition system based on mm-wave FMCW radar and cloud computing

H Abedi, A Ansariyan, PP Morita… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In this work, we present a cloud-based system for noncontact, real-time recognition, and
monitoring of physical activities and walking periods within a domestic environment. The …