A multi-radar architecture for human activity recognition in indoor kitchen environments

A Gorji, T Gielen, M Bauduin, H Sahli… - 2021 IEEE Radar …, 2021 - ieeexplore.ieee.org
This paper tackles the Human Activity Recognition (HAR) in the kitchen environment using
radar as the sensing tool. The setup includes two Frequency Modulated Continuous Wave …

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 …

A novel approach for radar-based human activity detection and classification

A Pesin, A Louzir, A Haskou - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
In this paper, we propose a novel approach for real-time radar-based human activities
detection and classification. In this approach, first, the radar transceiver is mounted on the …

Kitchen activity detection for healthcare using a low-power radar-enabled sensor network

F Luo, S Poslad, E Bodanese - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Human activity detection plays a crucial role in the recognition of activities of daily living
(ADLs). In the past ten years, research on activity detection in the home was achieved …

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 …

Cross-frequency classification of indoor activities with dnn transfer learning

A Shrestha, C Murphy, I Johnson… - 2019 IEEE Radar …, 2019 - ieeexplore.ieee.org
Remote, non-contact recognition of human motion and activities is central to health
monitoring in assisted living facilities, but current systems face the problems of training …

Real-time human activity classification from radar with CNN-LSTM network

Z Yang, H Wang, P Ni, P Wang, Q Cao… - 2021 IEEE 16th …, 2021 - ieeexplore.ieee.org
Millimeter-wave radar is becoming an attractive solution to human activity classification for
smart home monitoring, with radar's robustness and privacy-less advantage. Especially, the …

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 …

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 …

Human activity classification with frequency modulated continuous wave radar using deep convolutional neural networks

R Hernangómez, A Santra… - 2019 International Radar …, 2019 - ieeexplore.ieee.org
Radar is an attractive sensor for human activity classification due to its ability to work in low
lighting conditions, its invariance to the environment and its ability to operate through …