RF sensing for continuous monitoring of human activities for home consumer applications
MG Amin, A Ravisankar… - Big Data: Learning …, 2019 - spiedigitallibrary.org
Radar for indoor monitoring is an emerging area of research and development, covering
and supporting different health and wellbeing applications of smart homes, assisted living …
and supporting different health and wellbeing applications of smart homes, assisted living …
Passive Radar Sensing for Human Activity Recognition: A Survey
F Savvidou, SA Tegos… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Continuous and unobtrusive monitoring of daily human activities in homes can potentially
improve the quality of life and prolong independent living for the elderly and people with …
improve the quality of life and prolong independent living for the elderly and people with …
Deep learning-based activity monitoring for smart environment using radar
Monitoring the environment plays a significant role in the evolution of a smart city with
enhanced safety, comfort, and security. One promising technology for smart environment …
enhanced safety, comfort, and security. One promising technology for smart environment …
XRF55: A Radio Frequency Dataset for Human Indoor Action Analysis
Radio frequency (RF) devices such as Wi-Fi transceivers, radio frequency identification tags,
and millimeter-wave radars have appeared in large numbers in daily lives. The presence …
and millimeter-wave radars have appeared in large numbers in daily lives. The presence …
Table of interest: activity recognition and behaviour analysis using a battery less wearable sensor
Energy overheads continue to be a major impediment for wearable based activity
recognition systems. We proposed a hybrid approach, which combines wearable-based …
recognition systems. We proposed a hybrid approach, which combines wearable-based …
Multiple object activity identification using RFIDs: A multipath-aware deep learning solution
RFID-based human activity identification has become a key component in today's Internet-of-
Things applications. State-of-the-art solutions mostly focus on the simple scenario with a …
Things applications. State-of-the-art solutions mostly focus on the simple scenario with a …
Human activity classification with radar signal processing and machine learning
M Jia, S Li, J Le Kernec, S Yang… - … conference on UK …, 2020 - ieeexplore.ieee.org
As the number of older adults increases worldwide, new paradigms for indoor activity
monitoring are required to keep people living at home independently longer. Radar-based …
monitoring are required to keep people living at home independently longer. Radar-based …
Using RF transmissions from IoT devices for occupancy detection and activity recognition
IoT ecosystems consist of a range of smart devices that generated a plethora of Radio
Frequency (RF) transmissions. This provides an attractive opportunity to exploit already …
Frequency (RF) transmissions. This provides an attractive opportunity to exploit already …
TARF: Technology-agnostic RF sensing for human activity recognition
With the rapid development towards smart Internet of Things (IoT), detection of human
activity has become essential in a variety of applications. Various radio-frequency (RF) …
activity has become essential in a variety of applications. Various radio-frequency (RF) …
An implementation of real-time activity sensing using Wi-Fi: Identifying optimal machine-learning techniques for performance evaluation
The elderly population is growing, and the healthcare system is experiencing a strain on
services provided to the elderly. The recent COVID-19 pandemic has increased this strain …
services provided to the elderly. The recent COVID-19 pandemic has increased this strain …