Comparison of Machine Learning Algorithms for Position-Oriented Human Fall Detection-Reference-Cited by-同舟云学术

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Comparison of Machine Learning Algorithms for Position-Oriented Human Fall Detection

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Wireless Communications and Mobile Computing (IWCMC)
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Author:

Salem Ziad¹,Lichtenegger Felix²,Weiss Andreas Peter¹,Leiner Claude²,Sommer Christian²,Krutzler Christian¹

Affiliation:

1. Institute for Sensors, Photonics and Manufacturing Technologies,Joanneum Research Forschungsgesellschaft mbH,Pinkafeld,Austria,7423

2. Institute for Sensors, Photonics and Manufacturing Technologies,Joanneum Research Forschungsgesellschaft mbH,Weiz,Austria,8160

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182387/10182368/10182691.pdf?arnumber=10182691

Reference53 articles.

1. Indoor navigation using Li-Fi & IoT technologies;bharanidharan;in Proc Sixth Int Conf Trends Electron and Inform (ICOEI 2022),2022

2. Sensor Location Analysis and Minimal Deployment for Fall Detection System

3. Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review

4. An intensive healthcare monitoring paradigm by using IoT based machine learning strategies

5. Improving fall detection by the use of depth sensor and accelerometer

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