Fall Detection and Elderly Monitoring System Using the CNN-Reference-Cited by-同舟云学术

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Fall Detection and Elderly Monitoring System Using the CNN

Published:2023 Issue: Volume: Page:171-182
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Reddy Anakala Vijay Mohan,Rashmi M.,Natesha B. V.,Reddy Guddeti Ram Mohana

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-0047-3_16

Reference18 articles.

1. Youngkong P, Panpanyatep W (2021) A novel double pressure sensors-based monitoring and alarming system for fall detection. In: 2021 second international symposium on instrumentation, control, artificial intelligence, and robotics (ICA-SYMP). IEEE, pp 1–5

2. Noury N, Rumeau P, Bourke A, ÓLaighin G, Lundy J (2008) A proposal for the classification and evaluation of fall detectors. Irbm 29(6):340–349

3. Mubashir M, Shao L, Seed L (2013) A survey on fall detection: principles and approaches. Neurocomputing 100:144–152

4. Gnanavel R, Anjana P, Nappinnai K, Sahari NP (2016) Smart home system using a wireless sensor network for elderly care. In: 2016 second international conference on science technology engineering and management (ICONSTEM). IEEE, pp 51–55

5. Nyan M, Tay FE, Murugasu E (2008) A wearable system for pre-impact fall detection. J Biomech 41(16):3475–3481

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. Pose Estimation based Fall Detection system using MediaPipe;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

2. Fall Detection Methods for Elderly People- A Comprehensive Survey;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

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