Title :
An approach to learning location information for a community support system
Author :
Ohguri, Kazuhisa ; Ito, Takayuki
Author_Institution :
Center for Knowledge Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
Abstract :
In this paper, we propose a location information system based on the Bayesian learning. The system has been developed with the aim of supporting activity in a community. Recently, GPS has been used to detect location. However, GPS has a problem in that it fails to detect an exact location in some situations. Thus, we propose a mechanism based on the Bayesian learning, which can reason an exact location by using three types of location information.
Keywords :
Global Positioning System; belief networks; inference mechanisms; learning (artificial intelligence); public administration; Bayesian learning; GPS; community support system; intelligent systems; location information system; reasoning; Bayesian methods; Collaboration; Educational institutions; Event detection; Face detection; Global Positioning System; Information systems; Intelligent systems; Laboratories; Telephony;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195414
