Abstract
This paper focuses on resource-aware and cost-effective indoor-localization at room-level using RFID technology. In addition to the tracking information of people wearing active RFID tags, we also include information about their proximity contacts. We present an evaluation using real-world data collected during a conference: We complement state-of-the-art machine learning approaches with strategies utilizing the proximity data in order to improve a core localization technique further. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Scholz, C., Doerfel, S., Atzmueller, M., Hotho, A., & Stumme, G. (2011). Resource-aware on-line RFID localization using proximity data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6913 LNAI, pp. 129–144). https://doi.org/10.1007/978-3-642-23808-6_9
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