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Enrichment of raw sensor data to enable high-level queries

Conroy, Kenneth and Roantree, Mark (2010) Enrichment of raw sensor data to enable high-level queries. In: DEXA 2010 - 21st International Conference on Database and Expert Systems Applications, 29 August - 3 September 2010, Bilbao, Spain. ISBN 978-3-642-15250-4

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Sensor networks are increasingly used across various application domains. Their usage has the advantage of automated, often continuous, monitoring of activities and events. Ubiquitous sensor networks detect location of people and objects and their movement. In our research, we employ a ubiquitous sensor network to track the movement of players in a tennis match. By doing so, our goal is to create a detailed analysis of how the match progressed, recording points scored, games and sets, and in doing so, greatly reduce the eort of coaches and players who are required to study matches afterwards. The sensor network is highly efficient as it eliminates the need for manual recording of the match. However, it generates raw data that is unusable by domain experts as it contains no frame of reference or context and cannot be analyzed or queried. In this work, we present the UbiQuSE system of data transformers which bridges the gap between raw sensor data and the high-level requirements of domain specialists such as the tennis coach.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Additional Information:The original publication is available at
Uncontrolled Keywords:ubisense; sensors;
Subjects:Computer Science > Computer software
Computer Science > Information storage and retrieval systems
Computer Science > Algorithms
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Published in:Database and Expert Systems Applications. 21th International Conference, DEXA 2010, Bilbao, Spain, August 30 - September 3, 2010, Proceedings. . Springer Berlin / Heidelberg. ISBN 978-3-642-15250-4
Publisher:Springer Berlin / Heidelberg
Official URL:
Copyright Information:Copyright Springer-Verlag Berlin / Heidelberg 2010
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 07/CE/I1147
ID Code:15730
Deposited On:27 Sep 2010 15:52 by Kenneth Conroy. Last Modified 27 Sep 2010 15:53

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