Fall detection using convolutional neural network with multi-sensor fusion

Xu Zhou; Li Chang Qian; Peng Jie You; Ze Gang Ding; Yu Qi Han

doi:10.1109/ICMEW.2018.8551564

Fall detection using convolutional neural network with multi-sensor fusion

Xu Zhou, Li Chang Qian, Peng Jie You, Ze Gang Ding, Yu Qi Han

信息与电子学院

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

25 引用（Scopus）

摘要

In this paper, a fall detection method is proposed by employing deep learning and multi-sensors fusion. Continuous wave radar and optical cameras are used simultaneously to capture human action information. Based on the abstraction of both the microwave and optical characteristics of the captured information, multiple convolutional neural network (CNN) is used to realize the information training and fall action recognition. Due to the fusion of multi-sensor information, the overall performance of the fall detection system can be improved remarkably. Detailed experiments are given to validate the proposed method.

源语言	英语
主期刊名	2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9781538641958
DOI	https://doi.org/10.1109/ICMEW.2018.8551564
出版状态	已出版 - 28 11月 2018
活动	2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018 - San Diego, 美国期限: 23 7月 2018 → 27 7月 2018

出版系列

姓名	2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018

会议

会议	2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018
国家/地区	美国
市	San Diego
时期	23/07/18 → 27/07/18

访问文件

10.1109/ICMEW.2018.8551564

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhou, X., Qian, L. C., You, P. J., Ding, Z. G., & Han, Y. Q. (2018). Fall detection using convolutional neural network with multi-sensor fusion. 在 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018 文章 8551564 (2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMEW.2018.8551564

@inproceedings{4c9f22fb683c478b919121698e48b654,

title = "Fall detection using convolutional neural network with multi-sensor fusion",

abstract = "In this paper, a fall detection method is proposed by employing deep learning and multi-sensors fusion. Continuous wave radar and optical cameras are used simultaneously to capture human action information. Based on the abstraction of both the microwave and optical characteristics of the captured information, multiple convolutional neural network (CNN) is used to realize the information training and fall action recognition. Due to the fusion of multi-sensor information, the overall performance of the fall detection system can be improved remarkably. Detailed experiments are given to validate the proposed method.",

keywords = "convolutional neural network, fall detection, fusion, human action, optical camera, radar",

author = "Xu Zhou and Qian, {Li Chang} and You, {Peng Jie} and Ding, {Ze Gang} and Han, {Yu Qi}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018 ; Conference date: 23-07-2018 Through 27-07-2018",

year = "2018",

month = nov,

day = "28",

doi = "10.1109/ICMEW.2018.8551564",

language = "English",

series = "2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018",

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

booktitle = "2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018",

address = "United States",

}

Zhou, X, Qian, LC, You, PJ, Ding, ZG & Han, YQ 2018, Fall detection using convolutional neural network with multi-sensor fusion. 在 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018., 8551564, 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018, San Diego, 美国, 23/07/18. https://doi.org/10.1109/ICMEW.2018.8551564

Fall detection using convolutional neural network with multi-sensor fusion. / Zhou, Xu; Qian, Li Chang; You, Peng Jie 等.
2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8551564 (2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Fall detection using convolutional neural network with multi-sensor fusion

AU - Zhou, Xu

AU - Qian, Li Chang

AU - You, Peng Jie

AU - Ding, Ze Gang

AU - Han, Yu Qi

PY - 2018/11/28

Y1 - 2018/11/28

N2 - In this paper, a fall detection method is proposed by employing deep learning and multi-sensors fusion. Continuous wave radar and optical cameras are used simultaneously to capture human action information. Based on the abstraction of both the microwave and optical characteristics of the captured information, multiple convolutional neural network (CNN) is used to realize the information training and fall action recognition. Due to the fusion of multi-sensor information, the overall performance of the fall detection system can be improved remarkably. Detailed experiments are given to validate the proposed method.

AB - In this paper, a fall detection method is proposed by employing deep learning and multi-sensors fusion. Continuous wave radar and optical cameras are used simultaneously to capture human action information. Based on the abstraction of both the microwave and optical characteristics of the captured information, multiple convolutional neural network (CNN) is used to realize the information training and fall action recognition. Due to the fusion of multi-sensor information, the overall performance of the fall detection system can be improved remarkably. Detailed experiments are given to validate the proposed method.

KW - convolutional neural network

KW - fall detection

KW - fusion

KW - human action

KW - optical camera

KW - radar

UR - http://www.scopus.com/inward/record.url?scp=85059974769&partnerID=8YFLogxK

U2 - 10.1109/ICMEW.2018.8551564

DO - 10.1109/ICMEW.2018.8551564

M3 - Conference contribution

AN - SCOPUS:85059974769

T3 - 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018

BT - 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018

Y2 - 23 July 2018 through 27 July 2018

ER -

Zhou X, Qian LC, You PJ, Ding ZG, Han YQ. Fall detection using convolutional neural network with multi-sensor fusion. 在 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8551564. (2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018). doi: 10.1109/ICMEW.2018.8551564

Fall detection using convolutional neural network with multi-sensor fusion

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