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RECONNAISSANCE DES COMPORTEMENTS D'UNE PERSONNE AGEE VIVANT SEULE DANS UN HABITAT INTELLIGENT POUR LA SANTE

Abstract : In France, in 2008, the number of people aged 60 and over is approximately 13.5 million. It is estimated at 22.3 million in 2050. Most elders live at home (96% of people aged 60 and over in 1999) and many live alone at home (27% in 1999). Elders living alone at home with aging have iii some risks at long-term (bad feeding, insufficient hygiene, loss of autonomy ...). To ensure a minimum safety for elders who wish to live at home as long as possible, we can install sensors in their home to obtain a Health Smart Home, also called "Habitat Intelligent pour la Santé" (HIS). This installation allows a remote monitoring of the occupant. Through an automatic recognition of daily activities performed by the occupant, our objective is to detect a possible loss of autonomy. We are interested in HIS which are equipped only with non-invasive, non-intrusive sensors (infra-red sensors and/or magnetic contacts). This type of HIS, simple and respectful of the privacy of the person, functions in a passive way, i.e. without needing the participation of the occupant. The work of the thesis proposes a method of processing data provided by passive infrared sensors installed in a HIS, in order to recognize the activities of daily living (or ADL) performed by the elder in a day, and monitor the evolution of his level of autonomy. This method has been written in Matlab and applied to real data coming from HIS occupied by elders living alone.
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Binh Xuan Hoa Le. RECONNAISSANCE DES COMPORTEMENTS D'UNE PERSONNE AGEE VIVANT SEULE DANS UN HABITAT INTELLIGENT POUR LA SANTE. Sciences de l'ingénieur [physics]. Université Joseph-Fourier - Grenoble I, 2008. Français. ⟨tel-00580747⟩

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