Human Activity Classification Method Using a Generalized Recurrent Neural Network

Tong Mao; Guoqiang Zhao; Houjun Sun

doi:10.1109/ICMMT45702.2019.8992580

Human Activity Classification Method Using a Generalized Recurrent Neural Network

集成电路与电子学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

Millimeter wave radar offers advantages in scene surveillance, traffic monitoring and health monitoring due to its penetrability and privacy. Abnormal human behaviors could be identified through the radar detection and classification process. In this paper, an abnormal human activity classification method based on micro-Doppler effect is proposed. The singular vector decomposition (SVD) and principle component analysis (PCA) are extracted from simulated radar echo and fed into a Generalized Regression Neural Network (GRNN) for classification.

源语言	英语
主期刊名	2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9781728121680
DOI	https://doi.org/10.1109/ICMMT45702.2019.8992580
出版状态	已出版 - 5月 2019
活动	11th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Guangzhou, 中国期限: 19 5月 2019 → 22 5月 2019

出版系列

姓名	2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings

会议

会议	11th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019
国家/地区	中国
市	Guangzhou
时期	19/05/19 → 22/05/19

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1109/ICMMT45702.2019.8992580

其它文件与链接

链接到 Scopus 的出版物

引用此

Mao, T., Zhao, G., & Sun, H. (2019). Human Activity Classification Method Using a Generalized Recurrent Neural Network. 在 2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings 文章 8992580 (2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMMT45702.2019.8992580

Mao, Tong ; Zhao, Guoqiang ; Sun, Houjun. / Human Activity Classification Method Using a Generalized Recurrent Neural Network. 2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings).

@inproceedings{3140cd9f11c44b06a82aaf859effc04b,

title = "Human Activity Classification Method Using a Generalized Recurrent Neural Network",

abstract = "Millimeter wave radar offers advantages in scene surveillance, traffic monitoring and health monitoring due to its penetrability and privacy. Abnormal human behaviors could be identified through the radar detection and classification process. In this paper, an abnormal human activity classification method based on micro-Doppler effect is proposed. The singular vector decomposition (SVD) and principle component analysis (PCA) are extracted from simulated radar echo and fed into a Generalized Regression Neural Network (GRNN) for classification.",

author = "Tong Mao and Guoqiang Zhao and Houjun Sun",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 ; Conference date: 19-05-2019 Through 22-05-2019",

year = "2019",

month = may,

doi = "10.1109/ICMMT45702.2019.8992580",

language = "English",

series = "2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings",

address = "United States",

}

Mao, T, Zhao, G & Sun, H 2019, Human Activity Classification Method Using a Generalized Recurrent Neural Network. 在 2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings., 8992580, 2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 11th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019, Guangzhou, 中国, 19/05/19. https://doi.org/10.1109/ICMMT45702.2019.8992580

Human Activity Classification Method Using a Generalized Recurrent Neural Network. / Mao, Tong; Zhao, Guoqiang ; Sun, Houjun.
2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8992580 (2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Human Activity Classification Method Using a Generalized Recurrent Neural Network

AU - Mao, Tong

AU - Zhao, Guoqiang

AU - Sun, Houjun

PY - 2019/5

Y1 - 2019/5

N2 - Millimeter wave radar offers advantages in scene surveillance, traffic monitoring and health monitoring due to its penetrability and privacy. Abnormal human behaviors could be identified through the radar detection and classification process. In this paper, an abnormal human activity classification method based on micro-Doppler effect is proposed. The singular vector decomposition (SVD) and principle component analysis (PCA) are extracted from simulated radar echo and fed into a Generalized Regression Neural Network (GRNN) for classification.

AB - Millimeter wave radar offers advantages in scene surveillance, traffic monitoring and health monitoring due to its penetrability and privacy. Abnormal human behaviors could be identified through the radar detection and classification process. In this paper, an abnormal human activity classification method based on micro-Doppler effect is proposed. The singular vector decomposition (SVD) and principle component analysis (PCA) are extracted from simulated radar echo and fed into a Generalized Regression Neural Network (GRNN) for classification.

UR - https://www.scopus.com/pages/publications/85080100172

U2 - 10.1109/ICMMT45702.2019.8992580

DO - 10.1109/ICMMT45702.2019.8992580

M3 - Conference contribution

AN - SCOPUS:85080100172

T3 - 2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings

BT - 2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019

Y2 - 19 May 2019 through 22 May 2019

ER -

Mao T, Zhao G , Sun H. Human Activity Classification Method Using a Generalized Recurrent Neural Network. 在 2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8992580. (2019 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019 - Proceedings). doi: 10.1109/ICMMT45702.2019.8992580

Human Activity Classification Method Using a Generalized Recurrent Neural Network

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此