RF sensing technologies for assisted daily living in healthcare: A comprehensive review
SA Shah, F Fioranelli - IEEE Aerospace and Electronic Systems …, 2019 - ieeexplore.ieee.org
The aim of radio-frequency (RF) sensing for assisted living is to deliver automatic support
and monitoring for older people in their homes, impaired patients living independently …
and monitoring for older people in their homes, impaired patients living independently …
[HTML][HTML] Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
Passive WiFi radar for human sensing using a stand-alone access point
Human sensing using WiFi signal transmissions is attracting significant attention for future
applications in e-healthcare, security, and the Internet of Things (IoT). The majority of WiFi …
applications in e-healthcare, security, and the Internet of Things (IoT). The majority of WiFi …
Imu2doppler: Cross-modal domain adaptation for doppler-based activity recognition using imu data
The proliferation of sensors powered by state-of-the-art machine learning techniques can
now infer context, recognize activities and enable interactions. A key component required to …
now infer context, recognize activities and enable interactions. A key component required to …
Contactless small-scale movement monitoring system using software defined radio for early diagnosis of COVID-19
The exponential growth of the novel coronavirus disease (N-COVID-19) has affected
millions of people already and it is obvious that this crisis is global. This situation has …
millions of people already and it is obvious that this crisis is global. This situation has …
Hardware for recognition of human activities: A review of smart home and AAL related technologies
Activity recognition (AR) from an applied perspective of ambient assisted living (AAL) and
smart homes (SH) has become a subject of great interest. Promising a better quality of life …
smart homes (SH) has become a subject of great interest. Promising a better quality of life …
Recent use of deep learning techniques in clinical applications based on gait: a survey
Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …
and medicine. In particular, clinical gait analysis has played a significant role in improving …
Technological innovations to assess and include the human dimension in the building-performance loop: A review
The human dimension plays an essential role in the energy performance of buildings and is
considered as significant as technological advances. Several studies highlighted the …
considered as significant as technological advances. Several studies highlighted the …
Occupancy detection and people counting using wifi passive radar
Occupancy detection and people counting technologies have important uses in many
scenarios ranging from management of human resources, optimising energy use in …
scenarios ranging from management of human resources, optimising energy use in …
Wireless channel modelling for identifying six types of respiratory patterns with sdr sensing and deep multilayer perceptron
Contactless or non-invasive technology has a significant impact on healthcare applications
such as the prediction of COVID-19 symptoms. Non-invasive methods are essential …
such as the prediction of COVID-19 symptoms. Non-invasive methods are essential …