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- W2009559600 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." @default.
- W2009559600 created "2016-06-24" @default.
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- W2009559600 date "2013-07-01" @default.
- W2009559600 modified "2023-10-14" @default.
- W2009559600 title "Artificial Neural Networks as an alternative to traditional fall detection methods" @default.
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- W2009559600 doi "https://doi.org/10.1109/embc.2013.6609833" @default.
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