Resource-Aware On-Line RFID Localization Using Proximity Data

produced by: Data & Web Mining Lab
author: Christoph Scholz, Department of Electrical Engineering and Computer Sciences, University of Kassel
published: Nov. 30, 2011,   recorded: September 2011,   views: 2202
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Description

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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