A predictive analysis of the night-day activities level of older patient in a health smart home

Tareq Hadidi, Norbert Noury

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

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).

Original languageEnglish
Title of host publicationAmbient Assistive Health and Wellness Management in the Heart of the City - 7th International Conference on Smart Homes and Health Telematics, ICOST 2009, Proceedings
Pages290-293
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event7th International Conference on Smart Homes and Health Telematics, ICOST 2009 - Tours, France
Duration: 1 Jul 20093 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5597 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Smart Homes and Health Telematics, ICOST 2009
Country/TerritoryFrance
CityTours
Period1/07/093/07/09

Keywords

  • Activity monitoring
  • Circadian rhythms
  • Health Smart Homes

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