FallDeFi: Ubiquitous fall detection using commodity Wi-Fi devices
Falling or tripping among elderly people living on their own is recognized as a major public
health worry that can even lead to death. Fall detection systems that alert caregivers, family …
health worry that can even lead to death. Fall detection systems that alert caregivers, family …
Radar sensing for activity classification in elderly people exploiting micro-doppler signatures using machine learning
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 …
aging along with disease linked to it and can lead to 'unstable incapacity'. This health status …
Assistive technology for elderly people: State of the art review and future research agenda
D Pramod - Science & Technology Libraries, 2023 - Taylor & Francis
Over the past few decades, assistive technologies have become popular all around the
world. In the available literature, there is still a gap in systematically reviewing the categories …
world. In the available literature, there is still a gap in systematically reviewing the categories …
Millimeter-wave frequency modulated continuous wave radar-based soft fall detection using pattern contour-confined Doppler-time maps
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 …
necessary to design and implement fall detection systems in older people's homes. Among …
Driving activity recognition using UWB radar and deep neural networks
In-car activity monitoring is a key enabler of various automotive safety functions. Existing
approaches are largely based on vision systems. Radar, however, can provide a low-cost …
approaches are largely based on vision systems. Radar, however, can provide a low-cost …
Portable UWB RADAR sensing system for transforming subtle chest movement into actionable micro-doppler signatures to extract respiratory rate exploiting ResNet …
Contactless or non-invasive technology for the monitoring of anomalies in an inconspicuous
and distant environment has immense significance in health-related applications, in …
and distant environment has immense significance in health-related applications, in …
Radar-based soft fall detection using pattern contour vector
The Internet of Things (IoT) technologies reserves a large latent capacity in dealing with the
emerging fall detection problem of elder people. The radar-based IoT methods are …
emerging fall detection problem of elder people. The radar-based IoT methods are …
RPCA-based high resolution through-the-wall human motion feature extraction and classification
Q An, S Wang, L Yao, W Zhang, H Lv… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Radar-based assisted living has received significant amount of research interest in recent
years. However, most of the existing works are focused only on free space detection. When it …
years. However, most of the existing works are focused only on free space detection. When it …
A three-stage low-complexity human fall detection method using IR-UWB radar
M Chen, Z Yang, J Lai, P Chu, J Lin - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
This paper proposes a novel three-stage low-complexity human fall detection method using
an impulse radio ultra-wideband (IR-UWB) radar. The core idea lies in the three cascaded …
an impulse radio ultra-wideband (IR-UWB) radar. The core idea lies in the three cascaded …
[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 …
analysed within the cumulative complexity model theoretical framework. Analyses will …