Towards a usable and an efficient elder fall detection system

Mohamad Daher 1 Maan El Badaoui El Najjar 1 Ahmad Diab 2 Mohamad Khalil 2 François Charpillet 3
1 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
2 Lebanese University [Beirut]
3 LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In-house monitoring of elders and automatic fall detection using intelligent sensors is a very desirable service that has the potential of increasing autonomy and independence while minimizing the risks of living alone. The efforts of building such systems have been spanning for decades, but there still is a lot of room for improvement. This paper proposes a novel approach to make a successful monitoring and assistive services for elderly. Moreover, we present our current progress of data collection, parameters extraction and parameters selection that are essential phases of our project. Our results on the data demonstrate that the proposed system methods are efficient and accurate and can be easily used in a real fall detection system.
Keywords : elderly fall detection activities monitoring parameters selection
Type de document :
Communication dans un congrès
International Conference on Advances in Biomedical Engineering (ICABME), Sep 2015, Beirut, Lebanon. IEEE, 2015, 〈10.1109/ICABME.2015.7323259〉
Liste complète des métadonnées
https://hal.inria.fr/hal-01248551
Contributeur : François Charpillet <>
Soumis le : dimanche 27 décembre 2015 - 14:53:12
Dernière modification le : mercredi 25 avril 2018 - 15:44:15

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INRIA | UNIV-LORRAINE | CRISTAL-DICOT | LORIA | CRISTAL

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Mohamad Daher, Maan El Badaoui El Najjar, Ahmad Diab, Mohamad Khalil, François Charpillet. Towards a usable and an efficient elder fall detection system . International Conference on Advances in Biomedical Engineering (ICABME), Sep 2015, Beirut, Lebanon. IEEE, 2015, 〈10.1109/ICABME.2015.7323259〉. 〈hal-01248551〉

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