The active badge location system
ACM Transactions on Information Systems (TOIS)
The dynamics of mass interaction
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
COMPASS: A probabilistic indoor positioning system based on 802.11 and digital compasses
WiNTECH '06 Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation & characterization
Redpin - adaptive, zero-configuration indoor localization through user collaboration
Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
Large-scale localization from wireless signal strength
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Self-mapping in 802.11 location systems
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Growing an organic indoor location system
Proceedings of the 8th international conference on Mobile systems, applications, and services
Movement detection for power-efficient smartphone WLAN localization
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
Employing user feedback for semantic location services
Proceedings of the 13th international conference on Ubiquitous computing
AWESOM: automatic discrete partitioning of indoor spaces for wifi fingerprinting
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
Towards fully organic indoor positioning
Proceedings of the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
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We present an indoor wireless localization system that is capable of room-level localization based solely on 802.11 network signal strengths and user-supplied training data. Our system naturally gathers dense data in places that users frequent while ignoring unvisited areas. By utilizing users, we create a comprehensive localization system that requires little off-line operation and no access to private locations to train. We have operated the system for over a year with more than 200 users working on a variety of laptops. To encourage use, we have implemented a live map that shows user locations in real-time, allowing for quick and easy friend-finding and lost-laptop recovery abilities. Through the system's life we have collected over 8,700 training points and performed over 1,000,000 localizations. We find that the system can localize to within 10 meters in 94% of cases.