Analytic methods for human activities at home

dc.contributor.author	Chinaveh, Leila
dc.date.accessioned	2012-09-25T13:59:19Z
dc.date.available	2012-09-25T13:59:19Z
dc.date.issued	2012
dc.identifier.uri	http://hdl.handle.net/11250/181785
dc.description	Master's thesis in Computer science	no_NO
dc.description.abstract	This is an application which used an algorithm for detecting the behaviour in the home. The process is based on using the motion sensors and the duration of time. By receiving the data from different places, the application recognizes the mode of activity in the house. The process has ability to find the anomalous behaviour from the patient. The anomaly behaviour are categorized with the different levels of the emphasis.	no_NO
dc.language.iso	eng	no_NO
dc.publisher	University of Stavanger, Norway	no_NO
dc.relation.ispartofseries	Masteroppgave/UIS-TN-IDE/2012;
dc.subject	informasjonsteknologi	no_NO
dc.subject	datateknikk	no_NO
dc.subject	anomaly behaviour	no_NO
dc.subject	rule engines	no_NO
dc.subject	false alarm	no_NO
dc.title	Analytic methods for human activities at home	no_NO
dc.type	Master thesis	no_NO
dc.subject.nsi	VDP::Technology: 500::Information and communication technology: 550	no_NO
dc.source.pagenumber	55	no_NO

Studentoppgaver (TN-IDE) [823]
Studentoppgaver i informasjonsteknologi, datateknikk / kybernetikk, signalbehandling