Improved YOLOv5 Method for Fall Detection-Reference-Cited by-同舟云学术

Improved YOLOv5 Method for Fall Detection

Published:2022-12-16 Issue: Volume: Page:
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Container-title:2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA)
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Author:

Peng Jun¹,He Yuanmin²,Jin Shangzhu³,Dai Haojun²,Peng Fei²,Zhang Yuhao²

Affiliation:

1. Chongqing University of Science and Technology,College of Mathematics, Physics and Data Science,Chongqing,China,401331

2. Chongqing University of Science and Technology,College of Intelligent Technology and Engineering,Chongqing,China,401331

3. Chongqing University of Science and Technology,Informatization Office,Chongqing,China,401331

Funder

National Science and Technology Major Project

National Natural Science Foundation of China

Chongqing Municipal Education Commission

Natural Science Foundation of Chongqing

Chongqing University of Science and Technology

Chinese Academy of Sciences

Publisher

IEEE

Link

Reference22 articles.

4. Fall behavior detection algorithm for the elderly based on AlphaPose optimization model;ma;Journal of Computer Applications,2022

5. Cbam: Convolutional block attention module;woo;Proceedings of the European Conference on Computer Vision (ECCV),2018

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