LuxTrace - indoor positioning using building illumination

Publication Type Journal Article
Authors Julian Randall, Oliver Amft, Jürgen Bohn, Martin Burri
Title LuxTrace - indoor positioning using building illumination
Abstract 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\,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.
Publication Personal and Ubiquitous Computing
Volume 11
Issue 6
Pages 417–428
Date August 2007
DOI 10.1007/s00779-006-0097-0
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Friedrich-Alexander-Universität Erlangen-Nürnberg