Artificial Neural Networks as an alternative to traditional fall detection methods-Reference-Cited by-同舟云学术

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Artificial Neural Networks as an alternative to traditional fall detection methods

Published:2013-07 Issue: Volume: Page:
ISSN:
Container-title:2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Vallejo Marcela,Isaza Claudia V.,Lopez Jose D.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6596169/6609410/06609833.pdf?arnumber=6609833

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tag-free indoor fall detection using transformer network encoder and data fusion;Scientific Reports;2024-07-21

2. Wear‐free indoor fall detection based on RFID and deep residual networks;International Journal of Communication Systems;2023-05-03

3. Efficient fall detection in four directions based on smart insoles and RDAE-LSTM model;Expert Systems with Applications;2022-11

4. Comparative Study on Fall Detection using Machine Learning Approaches;2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON);2022-05-24

5. Fall event detection with global and temporal local information in real-world videos;Multimedia Tools and Applications;2022-01-20

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