An Approach to Learning Location Information for A Community Support System

抄録

In this paper, we propose a location information system based on 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 Bayesian learning, which can reason an exact location by using three types of location information.