The anatomy of a context-aware application
Wireless Networks - Selected Papers from Mobicom'99
A Probabilistic Room Location Service for Wireless Networked Environments
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Wearable sensing to annotate meeting recordings
Personal and Ubiquitous Computing
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Employing User Feedback for Fast, Accurate, Low-Maintenance Geolocationing
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
ISWC '04 Proceedings of the Eighth International Symposium on Wearable Computers
Reducing the Calibration Effort for Location Estimation Using Unlabeled Samples
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Design of indoor positioning systems based on location fingerprinting technique
Design of indoor positioning systems based on location fingerprinting technique
ARIADNE: a dynamic indoor signal map construction and localization system
Proceedings of the 4th international conference on Mobile systems, applications and services
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
Composcan: adaptive scanning for efficient concurrent communications and positioning with 802.11
Proceedings of the 6th international conference on Mobile systems, applications, and services
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
A practical approach to recognizing physical activities
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Employing user feedback for semantic location services
Proceedings of the 13th international conference on Ubiquitous computing
Capturing transitions between users' semantically meaningful places using mobile devices
Proceedings of the 1st ACM workshop on Mobile systems for computational social science
| Hi-index | 0.00 |
Wireless signal strength fingerprinting has become an increasingly popular technique for realizing indoor localization systems using existing WiFi infrastructures. However, these systems typically require a time-consuming and costly training phase to build the radio map. Moreover, since radio signals change and fluctuate over time, map maintenance requires continuous re-calibration. We introduce a new concept called "asynchronous interval labeling" that addresses these problems in the context of user-generated place labels. By using an accelerometer to detect whether a device is moving or stationary, the system can continuously and unobtrusively learn from all radio measurements during a stationary period, thus greatly increasing the number of available samples. Movement information also allows the system to improve the user experience by deferring labeling to a later, more suitable moment. Initial experiments with our system show considerable increases in data collected and improvements to inferred location likelihood, with negligible overhead reported by users.