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Journal Articles Journal of eHealth Technology and Application Year : 2007

Automatic Fall Detection and Activity Monitoring for Elderly

Guillaume Perolle
  • Function : Author
  • PersonId : 845957
Maria Mavros
  • Function : Author
  • PersonId : 845958
Igone Etxeberria
  • Function : Author
  • PersonId : 845959

Abstract

Our modern societies are confronted to a new growing problem: the global ageing of population. In order to find ways to encourage elderly people to live longer in their own home, ensuring the necessary vigilance and security at the lowest cost, some tele-assistance systems are already available commercially. This article presents a specific neural network used on a portable system for classifying activities in ambulatory monitoring. After more precisions about this specific neural network, we present in the second part some experimental results from our prototype stemming from gerontologic institute Ingema.

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Automatic
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Dates and versions

lirmm-00203386 , version 1 (09-01-2008)

Identifiers

  • HAL Id : lirmm-00203386 , version 1

Cite

Philippe Fraisse, Guillaume Perolle, Maria Mavros, Igone Etxeberria. Automatic Fall Detection and Activity Monitoring for Elderly. Journal of eHealth Technology and Application, 2007, 5 (3), pp.240-246. ⟨lirmm-00203386⟩
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