Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition

S Ahmed, SH Cho - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …

Sensing technology for human activity recognition: A comprehensive survey

B Fu, N Damer, F Kirchbuchner, A Kuijper - Ieee Access, 2020 - ieeexplore.ieee.org
Sensors are devices that quantify the physical aspects of the world around us. This ability is
important to gain knowledge about human activities. Human Activity recognition plays an …

Continuous human motion recognition with a dynamic range-Doppler trajectory method based on FMCW radar

C Ding, H Hong, Y Zou, H Chu, X Zhu… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
Radar-based human motion recognition is crucial for many applications, such as
surveillance, search and rescue operations, smart homes, and assisted living. Continuous …

Radar signal processing for sensing in assisted living: The challenges associated with real-time implementation of emerging algorithms

J Le Kernec, F Fioranelli, C Ding… - IEEE Signal …, 2019 - ieeexplore.ieee.org
This article covers radar signal processing for sensing in the context of assisted living (AL).
This is presented through three example applications: human activity recognition (HAR) for …

A comprehensive overview on uwb radar: Applications, standards, signal processing techniques, datasets, radio chips, trends and future research directions

M Cheraghinia, A Shahid, S Luchie… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Due to their large bandwidth, relatively low cost, and robust performance, uwb radio chips
can be used for a wide variety of applications, including localization, communication, and …

Contactless fall detection using time-frequency analysis and convolutional neural networks

H Sadreazami, M Bolic, S Rajan - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Automatic detection of a falling person based on noncontact sensing is a challenging
problem with applications in smart homes for elderly care. In this article, we propose a radar …

A compact tri-notched flexible UWB antenna based on an inkjet-printable and plasma-activated silver nano ink

W Yang, X Zhao, Z Guo, H Sun, EJW List-Kratochvil - Scientific Reports, 2024 - nature.com
The rapid development of ultrawideband (UWB) communication systems has resulted in
increasing performance requirements for the antenna system. In addition to a wide …

SleepPoseNet: Multi-view learning for sleep postural transition recognition using UWB

M Piriyajitakonkij, P Warin, P Lakhan… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Recognizing movements during sleep is crucial for the monitoring of patients with sleep
disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human …

Sleep posture recognition based on machine learning: A systematic review

X Li, Y Gong, X **, P Shang - Pervasive and Mobile Computing, 2023 - Elsevier
Background: In recent years, the application of artificial intelligence in the field of sleep
medicine has rapidly emerged. One of the main concerns of many researchers is the …

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 …