A Fuzzy Logic System For Home Elderly People Monitoring (EMUTEM)

نویسندگان

  • Hamid MEDJAHED
  • Dan ISTRATE
  • Jerome BOUDY
  • Bernadette DORIZZI
چکیده

The purpose of this paper is to present a view of a telemonitoring system based on fuzzy logic for distress situations detection of elderly people living alone in the home environment. This system includes three different sensors: physiological sensors (cardiac frequency, activity or agitation, posture and fall detection sensor), microphones and infrared sensors. Taking into account the difficulty of the statistical modeling of abnormal situation and considering that the Fuzzy Logic has been actually used with success in the development of classifier and analysis of control systems, its use in the decision fusion module of our home elderly people monitoring system is presented and evaluated in this paper. Key–Words: Fuzzy logic, Fuzzy set, Data fusion, Health Science,Fuzzy Control.

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تاریخ انتشار 2009