Human activities of daily living recognition using fuzzy logic for elderly home monitoring

Hamid Medjahed (1, 2) , Dan Istrate (2) , Jérôme Boudy (1) , Bernadette Dorizzi (1)

1 TSP - EPH - Département Electronique et Physique
2 LRIT - Laboratoire de Recherche et d'Innovation Technologique (ESIGETEL)

Learning and recognizing human activities of daily living(ADL), is very useful and essential to build a pervasive home monitoring system. These monitoring technologies are indispensable for developing the next generation of smart houses. In this paper we describe a fuzzy logic system for recognizing activities in home environment using a set of sensors: physiological sensors (cardiac frequency, activity or agitation, posture and fall detection sensor), microphones, infrared sensors, debit sensors and state-change sensors. Motivated by the fact that fuzzy controllers have been successfully embedded within billions of dollars in commercial products, plus the characteristic of data providing from each sensor, the fusion of the different sensors has been performed by using fuzzy logic. This fuzzy logic approach allowed us to recognize several activities of daily living (ADLs) for ubiquitous healthcare

Mots clés: Elderly home monitoring; ADL recognition; Fuzzy logic

Domaines: Traitement du signal et de l'image [eess.SP]

Hamid Medjahed, Dan Istrate, Jérôme Boudy, Bernadette Dorizzi. Human activities of daily living recognition using fuzzy logic for elderly home monitoring. FUZZ-IEEE 2009 : IEEE International Conference on Fuzzy Systems, Aug 2009, Jeju Island, South Korea. pp.2001 - 2006, ⟨10.1109/FUZZY.2009.5277257⟩. ⟨hal-01366500⟩