Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Low Cost Indoor Positioning System
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
The Location Stack: A Layered Model for Location in Ubiquitous Computing
WMCSA '02 Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications
News analysis: precision navigation in European skies
IEEE Spectrum
LOCATOR: location estimation system For wireless LANs
Proceedings of the 2nd ACM international workshop on Wireless mobile applications and services on WLAN hotspots
Design of the QBIC Wearable Computing Platform
ASAP '04 Proceedings of the Application-Specific Systems, Architectures and Processors, 15th IEEE International Conference
LANDMARC: indoor location sensing using active RFID
Wireless Networks - Special issue: Pervasive computing and communications
Prototypical implementation of location-aware services based on super-distributed RFID tags
ARCS'06 Proceedings of the 19th international conference on Architecture of Computing Systems
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Lightweight material detection for placement-aware mobile computing
Proceedings of the 21st annual ACM symposium on User interface software and technology
Short Communication: Improving location awareness in indoor spaces using RFID technology
Expert Systems with Applications: An International Journal
Exploiting ambient illumination to locate and recognise user behaviour in enclosed environments
Personal and Ubiquitous Computing
LocateMe: Magnetic-fields-based indoor localization using smartphones
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
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Tracking location is challenging due to the numerous constraints of practical systems including, but not limited to global cost, device volume and weight, scalability and accuracy; these constraints are typically more severe for systems that should be wearable and used indoors. We investigate the use of wearable solar cells to track changing light conditions (a concept that we named LuxTrace) as a source of user displacement and activity data. We evaluate constraints of this approach and present results from an experimental validation of displacement and activity estimation. The results indicate that a distance estimation accuracy of 21聽cm (80% quantile) can be achieved. A simple method to combine LuxTrace with complementary absolute location estimation methods is also presented. We apply carpet-like distributed RFID tags to demonstrate online learning of new lighting environments.