A Predictive Analysis of the Night-Day Activities Level of Older Patient in a Health Smart Home

Authors:
Tareq Hadidi;Norbert Noury
Affiliations:
Faculte de Médecine de Grenoble, TIMC-IMAG, UMR5252, La Tronche, France 38706;Faculte de Médecine de Grenoble, TIMC-IMAG, UMR5252, La Tronche, France 38706 and INL-INSA Lyon, UMR 5270, Bat Léonard de Vinci, Villeurbanne cedex, France 69621
Venue:
ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
Year:
2009

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Abstract

The present paper focuses on the experimental set up of a Health Smart Home (HSH) "or HIS in French" with presence infrared sensors (PIR) to detect and report data on the daily activities of fragile person in hospital suite. To study the data, predictive analyses are used to find the most pertinent parameters and indicators of these activities. A relationship is established between the activities of night (nocturnal) and day (diurnal).