Artificial Neural Networks as an alternative to traditional fall detection methods

@article{Vallejo2013ArtificialNN,
  title={Artificial Neural Networks as an alternative to traditional fall detection methods},
  author={Marcela Vallejo and Claudia V. Isaza and Jos{\'e} D. L{\'o}pez},
  journal={2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2013},
  pages={1648-1651}
}
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… CONTINUE READING
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