Indoor human activity recognition based on ambient radar with signal processing and machine learning

S Zhu, J Xu, H Guo, Q Liu, S Wu… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Indoor human activity recognition has been extensively investigated. However, most of the
solutions require sensors eg 9-axis IMU be equipped on human body or use image …

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 …

On the generalization and reliability of single radar-based human activity recognition

A Gorji, A Bourdoux, H Sahli - IEEE Access, 2021 - ieeexplore.ieee.org
Identifying human activities using short-range and low-power radars has attracted much
attention among the researchers and consumer electronics industry. This paper considers …

Patient activity recognition using radar sensors and machine learning

G Bhavanasi, L Werthen-Brabants, T Dhaene… - Neural Computing and …, 2022 - Springer
Indoor human activity recognition is actively studied as part of creating various intelligent
systems with applications in smart home and office, smart health, internet of things, etc …

Indoor human activity recognition using high-dimensional sensors and deep neural networks

B Vandersmissen, N Knudde, A Jalalvand… - Neural Computing and …, 2020 - Springer
Many smart home applications rely on indoor human activity recognition. This challenge is
currently primarily tackled by employing video camera sensors. However, the use of such …

Indoor device-free activity recognition based on radio signal

X Huang, M Dai - IEEE Transactions on Vehicular Technology, 2016 - ieeexplore.ieee.org
Activity recognition based on a wireless signal has received a lot of attention recently. Only
requiring some modification on Access Point (AP), this type of approach is applicable to …

The Human Activity Radar Challenge: Benchmarking Based on the 'Radar Signatures of Human Activities' Dataset From Glasgow University

S Yang, J Le Kernec, O Romain… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Radar is an extremely valuable sensing technology for detecting moving targets and
measuring their range, velocity, and angular positions. When people are monitored at home …

Multi-domains based human activity classification in radar

Z Li, F Fioranelli, S Yang, L Zhang… - … Conference (IET IRC …, 2020 - ieeexplore.ieee.org
In human activity recognition (HAR) based on radar, significant research exists on statistical
features extracted from the spectrogram (μD), whereas the research which considers other …

[HTML][HTML] A Comparative Study on Recent Progress of Machine Learning-Based Human Activity Recognition with Radar

K Papadopoulos, M Jelali - Applied Sciences, 2023 - mdpi.com
The importance of radar-based human activity recognition has increased significantly over
the last two decades in safety and smart surveillance applications due to its superiority in …

FMCW radar sensor based human activity recognition using deep learning

S Ahmed, J Park, SH Cho - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Human Activity Recognition (HAR) has found many applications in several disciplines such
as smart home and elderly healthcare units. The robustness of radar sensor against the …