Fall Detection and Warning System for Nursing Homes based on Bluetooth Low Energy-Reference-Cited by-同舟云学术

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Fall Detection and Warning System for Nursing Homes based on Bluetooth Low Energy

Published:2022-07-05 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
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Author:

De Raeve Nick¹,Nzamuye Cedric¹,Claus Nicolas¹,Verhaevert Jo¹,Van Torre Patrick¹,Rogier Hendrik¹

Affiliation:

1. IDLab,Dept. of Information Technology Ghent University - imec,Ghent,Belgium

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9854191/9854207/09854354.pdf?arnumber=9854354

Reference19 articles.

1. Elderly Fall Detection Systems: A Literature Survey

2. A Large-Scale Open Motion Dataset (KFall) and Benchmark Algorithms for Detecting Pre-impact Fall of the Elderly Using Wearable Inertial Sensors

3. The Elderly Consumer and Adoption of Technologies

4. Cognitive age in technology acceptance: At what age are people ready to adopt and continuously use fashionable products?

5. Bluetooth-Low-Energy-Based Fall Detection and Warning System for Elderly People in Nursing Homes

Cited by 2 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. Energy Efficient Deep-Edge Computing through Hardware Machine Learning;2023 IEEE 9th World Forum on Internet of Things (WF-IoT);2023-10-12

2. IoT Healthcare System based on ESP32 for Smart Home;2023 IEEE International Conference on Mechatronics and Automation (ICMA);2023-08-06

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