ML Anthology

Resource-Aware On-Line RFID Localization Using Proximity Data

Christoph Scholz, Stephan Doerfel, Martin Atzmueller, Andreas Hotho, Gerd Stumme
ECML-PKDD 2011 pp. 129-144
doi:10.1007/978-3-642-23808-6_9 /ecmlpkdd/2011/scholz2011ecmlpkdd-resourceaware/

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.

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Cite

Text

Scholz et al. "Resource-Aware On-Line RFID Localization Using Proximity Data." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011. doi:10.1007/978-3-642-23808-6_9

Markdown

[Scholz et al. "Resource-Aware On-Line RFID Localization Using Proximity Data." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.](https://mlanthology.org/ecmlpkdd/2011/scholz2011ecmlpkdd-resourceaware/) doi:10.1007/978-3-642-23808-6_9

BibTeX

@inproceedings{scholz2011ecmlpkdd-resourceaware,
  title     = {{Resource-Aware On-Line RFID Localization Using Proximity Data}},
  author    = {Scholz, Christoph and Doerfel, Stephan and Atzmueller, Martin and Hotho, Andreas and Stumme, Gerd},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2011},
  pages     = {129-144},
  doi       = {10.1007/978-3-642-23808-6_9},
  url       = {https://mlanthology.org/ecmlpkdd/2011/scholz2011ecmlpkdd-resourceaware/}
}