A Wearable Fall Detection System Using Deep Learning-Reference-Cited by-同舟云学术

A Wearable Fall Detection System Using Deep Learning

Published:2019 Issue: Volume: Page:445-456
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Casilari Eduardo,Lora-Rivera Raúl,García-Lagos Francisco

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-22999-3_39

Reference26 articles.

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2. Orces, C.H., Alamgir, H.: Trends in fall-related injuries among older adults treated in emergency departments in the USA. Inj. Prev. 20, 421–423 (2014)

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

4. Igual, R., Medrano, C., Plaza, I.: Challenges, issues and trends in fall detection systems. Biomed. Eng. Online 12, 66 (2013)

5. Chaccour, K., Darazi, R., El Hassani, A.H., Andres, E.: From fall detection to fall prevention: a generic classification of fall-related systems. IEEE Sens. J. 17, 812–822 (2017)

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