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A Survey of Context-Aware Mobile Computing Research
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IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
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
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Personal and Ubiquitous Computing
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Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
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Place lab: device positioning using radio beacons in the wild
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UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
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IEEE Transactions on Signal Processing
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LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
WASP: an enhanced indoor locationing algorithm for a congested Wi-Fi environment
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
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MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
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MAQS: a personalized mobile sensing system for indoor air quality monitoring
Proceedings of the 13th international conference on Ubiquitous computing
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Wireless Personal Communications: An International Journal
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Redpin is a fingerprint-based indoor localization system designed and built to run on mobile phones. The basic principles of our system are based on known systems like Place Lab or Radar. However, with Redpin it is possible to consider the signal-strength of GSM, Bluetooth, and WiFi access points on a mobile phone. Moreover, we devised methods to omit the time-consuming training phase and instead incorporate a folksonomy-like approach where the users train the system while using it. Finally, this approach also enables the system to expeditiously adapt to changes in the environment, caused for example by replaced access points.