Access and mobility of wireless PDA users
ACM SIGMOBILE Mobile Computing and Communications Review
Power-Efficient Access-Point Selection for Indoor Location Estimation
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
E-Textiles for Autonomous Location Awareness
IEEE Transactions on Mobile Computing
Efficient indoor proximity and separation detection for location fingerprinting
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
Improving Location Fingerprinting through Motion Detection and Asynchronous Interval Labeling
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Accurate and low-cost location estimation using kernels
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A taxonomy for radio location fingerprinting
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
Growing an organic indoor location system
Proceedings of the 8th international conference on Mobile systems, applications, and services
Utilization of user feedback in indoor positioning system
Pervasive and Mobile Computing
A location-based management system for enterprise wireless LANs
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
Employing user feedback for semantic location services
Proceedings of the 13th international conference on Ubiquitous computing
MAQS: a personalized mobile sensing system for indoor air quality monitoring
Proceedings of the 13th international conference on Ubiquitous computing
ARIEL: automatic wi-fi based room fingerprinting for indoor localization
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
CrowdInside: automatic construction of indoor floorplans
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Towards fully organic indoor positioning
Proceedings of the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
A location-based personal task reminder for mobile users
Personal and Ubiquitous Computing
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One way to improve inferences on sensor data is to tunethe algorithms through a time-consuming offline procedure.A less expensive, and potentially more accurate method isto use an online procedure based on feedback from users,who often know best what the data means to them. Wepresent a method for user-assisted location inference basedon 802.11b wireless signal strengths. A user 'corrects' systemgeolocations by clicking on a map, recording a 'virtualaccess point' (VAP) at the selected point for future inferences.A best VAP is selected using simple criteria, includingthe VAP's creator. This permits using other's VAPswhile getting their own if one exists, capturing user-specificbehavior. The system is also self-maintaining with respectto changing access point deployments. Indoor experimentsshow very good accuracy for this simple method.