Radar-Based Human Activity Recognition With 1-D Dense Attention Network

doi:10.1109/LGRS.2020.3045176

	Radar-Based Human Activity Recognition With 1-D Dense Attention Network
	Guoji Lai 1; Xin Lou2 ; Wenbin Ye 1
	2022
发表期刊	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (IF:4.0[JCR-2023],4.4[5-Year])
ISSN	1558-0571
卷号	19
发表状态	已发表
DOI	10.1109/LGRS.2020.3045176
摘要	With the development of the Internet of things, radar-based human activity recognition is becoming more and more important, because they play an indispensable role in fields such as safety and health monitoring. In this work, a novel network named 1-D dense attention neural network (1-D-DAN) is proposed for the radar-based human activity recognition. In the proposed network, a novel attention mechanism network structure specifically designed for radar spectrogram is proposed, equipping 1-D convolutional network with attention mechanism. With the $x$ -axis of the spectrogram represents time and the $y$ -axis represents frequency, the proposed attention mechanism includes two branches: 1) time attention branch and 2) frequency attention branch. Moreover, a dense attention operation that can make full use of features in the network is also introduced in the proposed attention mechanism. Experimental results show that compared with the state-of-the-art methods, our proposed 1-D-DAN achieves the highest accuracy in human activity recognition with the lowest computational complexity.
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收录类别	SCI ; SCIE ; EI
来源库	IEEE
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/135724
专题	信息科学与技术学院信息科学与技术学院_PI研究组_娄鑫组
作者单位	1.School of Electronic Science and Technology, Shenzhen University, Shenzhen, China 2.School of Information Science and Technology, ShanghaiTech University, Shanghai, China
推荐引用方式 GB/T 7714	Guoji Lai,Xin Lou,Wenbin Ye. Radar-Based Human Activity Recognition With 1-D Dense Attention Network[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2022,19.
APA	Guoji Lai,Xin Lou,&Wenbin Ye.(2022).Radar-Based Human Activity Recognition With 1-D Dense Attention Network.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,19.
MLA	Guoji Lai,et al."Radar-Based Human Activity Recognition With 1-D Dense Attention Network".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 19(2022).