THE PROJECTION ALGORITHM APPLIED FOR HUMAN ACTIVITY PATTERN DISCOVERY IN SMART HOME
(0) To some extent human activity is characterized by time distribution. It is expected that the methods for time series analysis are probably feasible to be performed in the subject of smart homes. In this paper, the projection algorithm is applied to extract knowledge from data measured in smart home. Some adjustments are carried out in order to fit this specific application. The experimental results illustrate that it might help in extracting of human activity patterns or the previewing of data without any pre-knowledge. It has the potential usage for revealing and characterizing human behavior features.
Smart home human activity monitoring pattern discovery time series mining
Ju Wang Klaus-Hendrik Wolf Matthias Gietzelt Reinhold Haux
Institute for Medical Informatics,University of Braunschweig - Institute of Technology and Hannover Medical School,Mühlenpfordtstr. 23, D - 38106 Braunschweig, Germany
国际会议
The 7th Asia Pacific Association for Medical Informatics Conference(第七届亚太医药信息学大会(APAMI2012))
北京
英文
1-7
2012-10-24（万方平台首次上网日期，不代表论文的发表时间）