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). © 2009 Springer Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Hadidi, T., & Noury, N. (2009). A predictive analysis of the night-day activities level of older patient in a health smart home. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5597 LNCS, pp. 290–293). https://doi.org/10.1007/978-3-642-02868-7_44
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
