A survey on radar-based continuous human activity recognition

I Ullmann, RG Guendel, NC Kruse… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Radar-based human motion and activity recognition is currently a topic of great research
interest, as the aging population increases and older individuals prefer an independent …

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 …

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 …

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 …

Benchmarking classification algorithms for radar-based human activity recognition

F Fioranelli, S Zhu, I Roldan - IEEE Aerospace and Electronic …, 2022 - ieeexplore.ieee.org
Linked to the increasing availability of datasets for radar-based human activity recognition
(HAR), in this Student Highlights contribution, we report on a classification project that 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 …

[PDF][PDF] Human movement characterization in indoor environment using GNU Radio based radar

BE Godana - Nov, 2009 - academia.edu
Human activity characterization based on gait signatures is important in several applications
including medical, elderly care, police, biometric identification, etc. Cameras and on-body …

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 …

Continuous human activity classification from FMCW radar with Bi-LSTM networks

A Shrestha, H Li, J Le Kernec… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Recognition of human movements with radar for ambient activity monitoring is a developed
area of research that yet presents outstanding challenges to address. In real environments …

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 …