The anatomy of a context-aware application
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
GPS: Location-Tracking Technology
Computer
Challenge: ubiquitous location-aware computing and the "place lab" initiative
Proceedings of the 1st ACM international workshop on Wireless mobile applications and services on WLAN hotspots
Two methods of authenticated positioning
Proceedings of the 2nd ACM international workshop on Quality of service & security for wireless and mobile networks
Introducing a decision tree-based indoor positioning technique
Expert Systems with Applications: An International Journal
Extended Kalman Filter for wireless LAN based indoor positioning
Decision Support Systems
WiFi Location Information System for Both Indoors and Outdoors
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Location-based social network services employing student cards for university
Proceedings of the 2009 International Workshop on Location Based Social Networks
Clustering-based location in wireless networks
Expert Systems with Applications: An International Journal
A Kalman filter updating method for the indoor moving object database
Expert Systems with Applications: An International Journal
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Over the last few years, wireless LAN and location-based service has been a hot subject of controversy. In this paper, we propose a Bayesian-based location estimation system and a location-based application using existing wireless access points at a college campus. Our system uses signal strength of access points and a Bayesian inference to estimate a userýs location. Using this pre-observation model-based system and considering signal strength direction, a user can construct a location estimation system easily and obtain good location estimation accuracy. Furthermore, our system allows users to know his/her location whenever they want without beacons searched by a system administrator or an unknown person. We implemented the system and exemplified its effectiveness with experiments at our campus. Using this system, we also propose a location-based presence service system. By using this presence system, one can get the location of friends automatically.