Title :
Human activity classification for smart home: A multiagent approach
Author :
Alam, M.R. ; Reaz, M.B.I. ; Ali, M. A Mohd ; Samad, S.A. ; Hashim, F.H. ; Hamzah, M.K.
Author_Institution :
Inst. of Microengineering & Nanoelectron., Univ. Kebangsaan Malaysia, Bangi, Malaysia
Abstract :
Smart home research requires study of psychological characteristics of home user. People follow some specific patterns in their life style. Inhabitant activity classification plays a vital role to predict smart home events. The paper proposed a multiagent system to track the user for task isolation. The system is composed of cooperative agents which works by sharing local views of individual agents. An algorithm is derived based on opposite entity state extraction for activity classification. The algorithm clusters the smart home events by isolating opposite status of home appliance. Result shows that the proposed algorithm can successfully identify inhabitant activities of various lengths.
Keywords :
home automation; image motion analysis; multi-agent systems; human activity classification; multiagent system; psychological home user characteristics; smart home; Classification algorithms; Clustering algorithms; Computer architecture; Home appliances; Multiagent systems; Prediction algorithms; Smart homes; Activity classification; Multiagent system; Smart home;
Conference_Titel :
Industrial Electronics & Applications (ISIEA), 2010 IEEE Symposium on
Conference_Location :
Penang
Print_ISBN :
978-1-4244-7645-9
DOI :
10.1109/ISIEA.2010.5679411