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Mobile Information Systems
Volume 2016, Article ID 2682869, 16 pages
Research Article

Improving Accuracy and Simplifying Training in Fingerprinting-Based Indoor Location Algorithms at Room Level

Department of Telematics Engineering, Universidad Carlos III de Madrid, 28911 Leganes, Spain

Received 9 August 2015; Revised 14 December 2015; Accepted 5 January 2016

Academic Editor: Francesco Gringoli

Copyright © 2016 Mario Muñoz-Organero and Claudia Brito-Pacheco. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Masaya Tanbo, Ryoma Nojiri, Yuusuke Kawakita, and Haruhisa Ichikawa, “Active RFID Attached Object Clustering Method with New Evaluation Criterion for Finding Lost Objects,” Mobile Information Systems, vol. 2017, pp. 1–12, 2017. View at Publisher · View at Google Scholar
  • Óscar Belmonte-Fernández, Sergio Trilles, Andrea Calia, Joaquín Torres-Sospedra, and Raúl Montoliu, “In-home monitoring system based on WiFi fingerprints for ambient assisted living,” Journal of Ambient Intelligence and Smart Environments, vol. 9, no. 5, pp. 543–560, 2017. View at Publisher · View at Google Scholar