Résumé
Our modern societies are confronted to a new growing problem: the global ageing of population. In order to find ways to encourage elderly people living longer at their own home, ensuring the necessary vigilance and security at the lower cost possible, 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 in the second part we will present some results from our prototype stemmed from gerontologic institute Ingema.