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 …

Radar sensing for activity classification in elderly people exploiting micro-doppler signatures using machine learning

W Taylor, K Dashtipour, SA Shah, A Hussain… - Sensors, 2021 - mdpi.com
The health status of an elderly person can be identified by examining the additive effects of
aging along with disease linked to it and can lead to 'unstable incapacity'. This health status …

Portable UWB RADAR sensing system for transforming subtle chest movement into actionable micro-doppler signatures to extract respiratory rate exploiting ResNet …

U Saeed, SY Shah, AA Alotaibi, T Althobaiti… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Contactless or non-invasive technology for the monitoring of anomalies in an inconspicuous
and distant environment has immense significance in health-related applications, in …

State-of-the-art radar technology for remote human fall detection: a systematic review of techniques, trends, and challenges

RC Tewari, A Routray, J Maiti - Multimedia Tools and Applications, 2024 - Springer
Human falls occur rarely; however, they can lead to severe consequences if not addressed
immediately. With the rise of nuclear families, there has been a significant increase in the …

Recognition of approximate motions of human based on micro-Doppler features

Z Wang, A Ren, Q Zhang, A Zahid… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
With the aging society approaching, the daily safety of the elderly has attracted more and
more people's attention, especially the elderly who live alone without anyone to take care of …

[HTML][HTML] Self-management interventions for Type 2 Diabetes: systematic review protocol focusing on patient workload and capacity support

P Hanlon, I Bryson, H Morrison, Q Rafiq… - Wellcome open …, 2021 - ncbi.nlm.nih.gov
Conclusion This review will provide a broad overview of self-management interventions,
analysed within the cumulative complexity model theoretical framework. Analyses will …

IoT based fall detection system for elderly healthcare

A Tahir, W Taylor, A Taha, M Usman, SA Shah… - Internet of Things for …, 2022 - Springer
Falls are a leading cause of immobility, morbidity, and mortality in older adults. Falls incur
high cost to health services with millions of bed days. Half of the older adults over 65 years …

Range-max enhanced ultrawideband micro-Doppler signatures of behind-the-wall indoor human motions

Q An, S Wang, L Yao, A Hoorfar… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
In this article, an ultrawideband (UWB) radar is first employed to probe through the opaque
wall media to detect behind-the-wall human motions. By employing such a radar, a high …

Radar human motion recognition using motion states and two-way classifications

MG Amin, RG Guendel - 2020 IEEE International Radar …, 2020 - ieeexplore.ieee.org
We perform classification of Activities of Daily Living (ADL) using a Frequency-Modulated
Continuous Waveform (FMCW) radar. In particular, we consider contiguous motions that are …

Radar classifications of consecutive and contiguous human gross‐motor activities

MG Amin, RG Guendel - IET Radar, Sonar & Navigation, 2020 - Wiley Online Library
The authors consider radar classifications of activities of daily living, which can prove
beneficial in fall detection, analysis of daily routines, and discerning physical and cognitive …