Modern Distributed Human Living State Auto Evaluation Based on Electric Signal and RBFNN

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