WiFi-based human activity recognition through wall using deep learning
FS Abuhoureyah, YC Wong, ASBM Isira - Engineering Applications of …, 2024 - Elsevier
Wireless sensing is a promising method that integrates wireless mechanisms with strong
sensing capabilities. The current focus of using WiFi Channel State Information (CSI) for …
sensing capabilities. The current focus of using WiFi Channel State Information (CSI) for …
Human posture reconstruction for through-the-wall radar imaging using convolutional neural networks
Z Zheng, J Pan, Z Ni, C Shi, S Ye… - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Low imaging spatial resolution hinders through-the-wall radar imaging (TWRI) from
reconstructing complete human postures. This letter mainly discusses a convolutional neural …
reconstructing complete human postures. This letter mainly discusses a convolutional neural …
A multitask network for people counting, motion recognition, and localization using through-wall radar
J Lin, J Hu, Z Xie, Y Zhang, G Huang, Z Chen - Sensors, 2023 - mdpi.com
Due to the outstanding penetrating detection performance of low-frequency electromagnetic
waves, through-wall radar (TWR) has gained widespread applications in various fields …
waves, through-wall radar (TWR) has gained widespread applications in various fields …
Grouped people counting using mm-wave FMCW MIMO radar
L Ren, AG Yarovoy, F Fioranelli - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The problem of radar-based counting of multiple individuals moving as a single group is
addressed using an mm-wave multiple-input–multiple-output (MIMO) frequency-modulated …
addressed using an mm-wave multiple-input–multiple-output (MIMO) frequency-modulated …
TWR-MCAE: A data augmentation method for through-the-wall radar human motion recognition
W Gao, X Yang, X Qu, T Lan - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To solve the problems of reduced accuracy and prolonging convergence time of through-the-
wall radar (TWR) human motion due to wall attenuation, multipath effect, and system …
wall radar (TWR) human motion due to wall attenuation, multipath effect, and system …
Unleashing the Potential of Self-Supervised RF Learning With Group Shuffle
Self-supervised learning (SSL) is a powerful approach that learns general semantic
representations from large-scale unlabeled data to make downstream tasks solve easier …
representations from large-scale unlabeled data to make downstream tasks solve easier …
Range-max enhanced ultrawideband micro-Doppler signatures of behind-the-wall indoor human motions
In this article, an ultrawideband (UWB) radar is first employed to probe through the opaque
wall media to detect behind-the-wall human motions. By employing such a radar, a high …
wall media to detect behind-the-wall human motions. By employing such a radar, a high …
Multiple stationary human targets detection in through-wall UWB radar based on convolutional neural network
C Shi, Z Zheng, J Pan, ZK Ni, S Ye, G Fang - Applied Sciences, 2022 - mdpi.com
Ultra-wideband (UWB) impulse radar is widely used for through-wall human detection due to
its high-range resolution and high penetration capability. UWB impulse radar can detect …
its high-range resolution and high penetration capability. UWB impulse radar can detect …
A K-means Clustering and Triangulation Based Scheme for Accurate Detection of Multiple Adjacent Through-the-Wall Human Targets
Through-the-wall (TTW) human targets' detection is extensively desired in civil and military
applications. Most studies in this field have only focused on multiple human targets with …
applications. Most studies in this field have only focused on multiple human targets with …
[HTML][HTML] 基于微多普勒角点特征与Non-Local 机制的穿墙雷达人体步态异常终止行为辨识技术
杨小鹏， 高炜程， 渠晓东 - 雷达学报, 2023 - radars.ac.cn
穿墙雷达能够穿透建筑物墙体, 实现室内人体目标探测. 利用深度学习提取不同肢节点的微多普
勒特征, 可以有效辨识障碍物后的人体行为. 但是, 当生成训练, 验证集与生成测试集的受试者不 …
勒特征, 可以有效辨识障碍物后的人体行为. 但是, 当生成训练, 验证集与生成测试集的受试者不 …