Citation

Vallejo M, Isaza CV, Lopez JD. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2013; 2013: 1648-1651.

Copyright

(Copyright © 2013, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/EMBC.2013.6609833

PMID

24110020

Abstract

Falls are common events among older adults and may have serious consequences. Automatic fall detection systems are becoming a popular tool to rapidly detect such events, helping family or health personal to rapidly help the person that falls. This paper presents the results obtained in the process of testing a new fall detection method, based on Artificial Neural Networks (ANN). This method intends to improve fall detection accuracy, by avoiding the traditional threshold - based fall detection methods, and introducing ANN as a suitable option on this application.Also ANN have low computational cost, this characteristic makes them easy to implement on a portable device, comfortable to be wear by the patient.

Language: en