An Approach to Learning Location Information for A Community Support System

Kazuhisa Ohguri; Takayuki Ito

doi:10.11499/sicep.2002.0.70.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.70.0

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

An Approach to Learning Location Information for A Community Support System

Kazuhisa Ohguri, Takayuki Ito

Author information

Keywords: Bayesian Learning, Intelligent Systems

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 70

Details

Abstract

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.

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