Title :
Modern Distributed Human Living State Auto Evaluation Based on Electric Signal and RBFNN
Author :
Zhao, Shutao ; Li, Baoshu ; Pang, Chengzong ; Yuan, Jinsha
Author_Institution :
Sch. of Electr. Eng., North China Electr. Power Univ., Hebei
Abstract :
Varied electric signals are contained in the electric space, no people can live out of the space in modern society. In the paper, the internal relation between the living action regulars and its household appliances operation is discussed, and a novel method to study the life activity regulars of the selected human group is proposed. After acquiring the current signal of household appliances running, the features extraction of current signal and radial basis function neural network (RBFNN) algorithm are utilized to identify the running state of electric appliance. Finally, based on electric signal analysis and artificial neural network recognition, the household appliances operating regular can be obtained, and the distributed people living state can be evaluated. Some necessary countermeasure can be done automatically with the special group´s living state
Keywords :
behavioural sciences computing; domestic appliances; feature extraction; radial basis function networks; signal processing; artificial neural network recognition; electric appliance; electric signal analysis; feature extraction; modern distributed human living state auto evaluation; radial basis function neural network; Artificial neural networks; Feature extraction; Home appliances; Humans; Manuals; Pervasive computing; Power engineering and energy; Radial basis function networks; Signal analysis; Signal processing; Auto Evaluation; Electric Signal; Living State; Neural Network;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713198
