Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2549-2554,2560

Human activity recognition network for millimeter-wave radar based on spatio-temporal attention

Zheng Yuanjiea,b
Huang Juna,b
Chen Zhouquana,b
a. School of Communication & Information Engineering, b. Chongqing Key Laboratory of Signal & Information Processing, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0792

Abstract

In order to solve the problems of poor anti-interference and invasion of user privacy in traditional methods of using cameras for human activity recognition, this paper proposed a human activity recognition network based on spatio-temporal attention of millimeter wave radar 3D point cloud data to achieve accurate perception of intelligent application context. The network firstly used a secondary sliding time window to accumulate and separate the point cloud data generated by human activities as the input of the classifier, then used the PointLSTM unit to aggregate point features and states according to the point cloud coordinate relationship to extract the time sequence features of human activities, and then spliced temporal-spatial features, reduced the overall network computation and enhanced the network's aggregation ability for local featured through sampling grouping modules, and finally used a stacked attention module to deeply fuse global and local features in temporal-spatial point cloud data to complete the accurate classification of human activities. This paper used millimeter wave radar to collect point cloud datasets of various human activities, the experimental results show that the average accuracy of the proposed spatiotemporal attention network can reach 98.64%, which can effectively identify complex and small-difference human activities, and meet the requirements of the human activity recognition system.

Foundation Support

国家自然科学基金资助项目(61771085)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0792
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Technology of Graphic & Image
Pages: 2549-2554,2560
Serial Number: 1001-3695(2023)08-049-2549-06

Publish History

[2023-03-08] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

郑元杰, 黄俊, 陈州全. 基于时空注意的毫米波雷达人体活动识别网络 [J]. 计算机应用研究, 2023, 40 (8): 2549-2554,2560. (Zheng Yuanjie, Huang Jun, Chen Zhouquan. Human activity recognition network for millimeter-wave radar based on spatio-temporal attention [J]. Application Research of Computers, 2023, 40 (8): 2549-2554,2560. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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