[HTML][HTML] 微动目标雷达特征提取, 成像与识别研究进展
张群， 胡健， 罗迎， 陈怡君 - 雷达学报, 2018 - edit.radars.ac.cn
微动目标的雷达特征提取, 成像与识别技术是雷达目标精确识别领域极具发展潜力的研究方向之
一. 该文首先简要阐述了微动的相关概念, 然后综述了近年来微动目标回波建模, 微动特征提取 …
一. 该文首先简要阐述了微动的相关概念, 然后综述了近年来微动目标回波建模, 微动特征提取 …
Vid2doppler: Synthesizing doppler radar data from videos for training privacy-preserving activity recognition
Millimeter wave (mmWave) Doppler radar is a new and promising sensing approach for
human activity recognition, offering signal richness approaching that of microphones and …
human activity recognition, offering signal richness approaching that of microphones and …
A joint global–local network for human pose estimation with millimeter wave radar
Z Cao, W Ding, R Chen, J Zhang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
This article proposes a two-branch learning model, namely, the joint global–local network,
for human pose estimation (HPE) using millimeter wave radar. The aim of this work is to …
for human pose estimation (HPE) using millimeter wave radar. The aim of this work is to …
Human activity classification with radar: Optimization and noise robustness with iterative convolutional neural networks followed with random forests
The accurate classification of activity patterns based on radar signatures is still an open
problem and is a key to detect anomalous behavior for security and health applications. This …
problem and is a key to detect anomalous behavior for security and health applications. This …
Midas: Generating mmwave radar data from videos for training pervasive and privacy-preserving human sensing tasks
Millimeter wave radar is a promising sensing modality for enabling pervasive and privacy-
preserving human sensing. However, the lack of large-scale radar datasets limits the …
preserving human sensing. However, the lack of large-scale radar datasets limits the …
[HTML][HTML] Research progresses in radar feature extraction, imaging, and recognition of target with micro-motions
Z Qun, H Jian, L Ying, C Yijun - 雷达学报, 2018 - radars.ac.cn
The technique of radar feature extraction, imaging, and recognition of target with micro-
motions has become one of the most potential research directions in the field of radar target …
motions has become one of the most potential research directions in the field of radar target …
Classification of human activity based on radar signal using 1-D convolutional neural network
Previously, the 2-D convolutional neural networks (2-D-CNNs) have been introduced to
classify the human activity based on micro-Doppler radar. Whereas these methods can …
classify the human activity based on micro-Doppler radar. Whereas these methods can …
Developing classifiers through machine learning algorithms for student placement prediction based on academic performance
In the era of globalization, student placement is very challenging issue for all educational
institutions. For engineering institutions, placement is a key factor to maintain good ranking …
institutions. For engineering institutions, placement is a key factor to maintain good ranking …
SimHumalator: An open-source end-to-end radar simulator for human activity recognition
Radio-frequency-based noncooperative monitoring of humans has numerous applications
ranging from law enforcement to ubiquitous sensing applications such as ambient assisted …
ranging from law enforcement to ubiquitous sensing applications such as ambient assisted …
Human activity classification based on micro-Doppler signatures by multiscale and multitask Fourier convolutional neural network
Human detection and activity classification has recently become a key technology in many
applications, eg, human computer interaction and surveillance for public and industrial …
applications, eg, human computer interaction and surveillance for public and industrial …