Using Dynamic Time Warping to Identify RFID Tag Movement in a Logistics Scenario with and without Additional Process Knowledge

Item Type Conference or Workshop Item (Paper)
Abstract

In recent years, Radio Frequency Identification (RFID) has been widely adopted as a solution for the fully automatic identification of physical objects. However, technological and physical constraints may sometimes hamper a productive use. One of the key issues is the problem of false-positive RFID tag reads, that is, RFID transponders that are detected unintentionally by the reader hardware. The present paper proposes and evaluates a comprehensive time-series analysis technique to identify and filter false-positives from the RFID data stream. Furthermore, we investigate the value of additional knowledge about the business process to be monitored. We empirically test our approach using a large set of RFID data collected at the distribution center of a large European retailer.

Authors Keller, Thorben; Thiesse, Frederic & Fleisch, Elgar
Language English
Subjects information management
HSG Classification contribution to scientific community
Refereed Yes
Date 15 December 2014
Publisher Association for Information Systems
Place of Publication AIS Electronic Library (AISeL)
Page Range 16
Title of Book Proceedings of the International Conference on Information Systems - Building a Better World through Information Systems
Event Title 35th International Conference on Information Systems (ICIS 2014)
Event Location Auckland, New Zealand
Event Dates 14.-17.12.2014
ISBN 978-0-615-15788-7
Official URL http://aisel.aisnet.org/icis2014/proceedings/Decis...
Depositing User Dr. Thorben Keller
Date Deposited 12 Feb 2015 17:08
Last Modified 19 Apr 2017 14:25
URI: https://www.alexandria.unisg.ch/publications/239219

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Citation

Keller, Thorben; Thiesse, Frederic & Fleisch, Elgar: Using Dynamic Time Warping to Identify RFID Tag Movement in a Logistics Scenario with and without Additional Process Knowledge. 2014. - 35th International Conference on Information Systems (ICIS 2014). - Auckland, New Zealand.

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https://www.alexandria.unisg.ch/id/eprint/239219
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