Title :
Information support system based on sensor networks
Author :
Tang, Dalai ; Kubota, Naoyuki
Author_Institution :
Dept. of Syst. Design, Tokyo Metropolitan Univ., Tokyo, Japan
Abstract :
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.
Keywords :
Internet; fuzzy neural nets; medical computing; medical robotics; wireless sensor networks; Web information; fuzzy spiking neural network; human behaviors; information extraction; information support system; on-line estimation method; sensor networks; user interface; Fires; Humans; Human Localization; Robot Partners; Sensor Networks; Web Intelligence;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824