Spectro-temporal modeling for human activity recognition using a radar sensor network

Target recognition via discriminant information and geometrical structure co-learning using radar sensor network

H Wan, X Si, P Zhu, J Liang - Pattern Recognition, 2025 - Elsevier
The target recognition system based on radar sensor network (RSN) has recently been
widely studied in radar automatic target recognition (RATR). The system can observe the …
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Integrated Sensing, Communication and Computation Over-the-Air: Beampattern Design for Wireless Sensor Networks

S Wang, Y Gong, X Li, Q Li - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In the future sixth-generation wireless communications, wireless sensor networks (WSNs)
are expected to support target sensing, information communication, and computational tasks …
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Human activity recognition from FMCW radar signals utilizing cross-terms free WVD

KN Faisal, HS Mir, RR Sharma - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The use of radar technology in the field of human activity recognition (HAR) has garnered
considerable interest due to its notable benefits in terms of accuracy, resilience, and …
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Device-Free Human Activity Recognition: A Systematic Literature Review

MG Moghaddam, AAN Shireh**i… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Human activity recognition (HAR) has become a topic of interest in recent years. While
device-based, object-tagged, and camera-based approaches to HAR have many …
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Incorporating image representation and texture feature for sensor-based gymnastics activity recognition

C Lian, Y Zhao, T Sun, J Shao, Y Liu, C Fu… - Knowledge-Based …, 2025 - Elsevier
Sensor-based gymnastics activity recognition has been a hot topic in recent years. Accurate
gymnastics activity recognition plays a crucial role in monitoring athlete performance and …
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[HTML][HTML] Efficiently improving the Wi-Fi-based human activity recognition, using auditory features, autoencoders, and fine-tuning

A Rahdar, M Chahoushi, SA Ghorashi - Computers in Biology and Medicine, 2024 - Elsevier
Human activity recognition (HAR) based on Wi-Fi signals has attracted significant attention
due to its convenience and the availability of infrastructures and sensors. Channel State …
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Lightweight Multi-Attention Enhanced Fusion Network for Omnidirectional Human Activity Recognition with FMCW Radar

X Li, Y Qiu, Z Deng, X Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Human activity recognition (HAR) based on radar has garnered wide interest due to its
privacy-friendly and lighting-independent nature. Despite advancements, challenges like …
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Multipath Exploitation for Human Activity Recognition using a Radar Network

RG Guendel, NC Kruse, F Fioranelli… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this study, the problem of multipath in radar sensor networks for human activity recognition
(HAR) has been examined. Traditionally considered as a source of additional clutter, the …
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A novel approach to enhanced fall detection using STFT and magnitude features with CNN autoencoder

T Soontornnapar, T Ploysuwan - Neural Computing and Applications, 2024 - Springer
The ability to accurately detect and classify falls is critical for ensuring timely medical
intervention, especially for the elderly, who face a significantly higher risk of severe injuries …
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Real-Time Fall Recognition Using a Lightweight Convolution Neural Network Based on Millimeter-Wave Radar

P Zheng, A Zhang, J Chen, Q Li… - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Fall recognition is very important for the elderly. Consequently, fall recognition using
convolution neural networks has been widely studied. However, current fall recognition …
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