A comprehensive study on the use of artificial neural networks in wearable fall detection systems

Author:

Casilari-Pérez EduardoORCID,García-Lagos Francisco

Funder

Universidad de Málaga

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference121 articles.

1. A smartphone-based fall detection system;Abbate;Pervasive and Mobile Computing,2012

2. Semi-automatic extraction of training examples from sensor readings for fall detection and posture monitoring;Abeyruwan;IEEE Sensors Journal,2016

3. Fall detection system for the elderly based on the classification of shimmer sensor prototype data;Ahmed;Healthcare Informatics Research,2017

4. Fall classification by machine learning using mobile phones;Albert;PloS One,2012

5. A neurofuzzy approach for fall detection;Ando,2017

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