Information support system based on sensor networks
Dalai Tang, Naoyuki Kubota · World Automation Congress · 2010
This paper proposes an information support system based on informationally structured space. First, we discuss web intelligence from three different points of view; (1) the measurement for personalization, (2) the user interface of web information, and (3) the structuralization of environmental modeling. Next, we discuss the on-line estimation method of human behaviors in the informationally structured space based on sensor networks. We apply a fuzzy spiking neural network [11–13] to localize human position, and to learn pattern of daily life of elderly people. Next, we propose a method for information support based on web intelligence using information extraction from web pages. Finally, we show several experimental results, and discuss the effectiveness of the proposed method.