Wearable Fall Detector Using Recurrent Neural Networks

Wearable Fall Detector Using Recurrent Neural Networks

Falls have become a relevant public health issue due to their high prevalence and negative effects in elderly people. Wearable fall detector devices allow the implementation of continuous and ubiquitous monitoring systems. The effectiveness for analyzing temporal signals with low energy consumption...

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Bibliographic Details
Main Authors: Francisco Luna-Perejón, Manuel Jesús Domínguez-Morales, Antón Civit-Balcells
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sensors
Subjects:
accelerometer
deep learning
embedded system
fall detection
wearable
recurrent neural networks
Online Access:https://www.mdpi.com/1424-8220/19/22/4885

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