Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Knowledge acquisition from sensor data in an equine environment

Conroy, Kenneth and May, Gregory and Roantree, Mark and Warrington, Giles and Cullen, Sarah Jane and McGoldrick, Adrian (2011) Knowledge acquisition from sensor data in an equine environment. In: Data Warehousing and Knowledge Discovery (DAWAK) 2011, 29 Aug - 2 Sept 2011, Toulouse, France.

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Recent advances in sensor technology have led to a rapid growth in the availability of accurate, portable and low-cost sensors. In the Sport and Health Science domains, this has been used to deploy multiple sensors in a variety of situations in order to monitor participant and environmental factors of an activity or sport. As these sensors often output their data in a raw, proprietary or unstructured format, it is difficult to identify periods of interest, such as events or actions of interest to the Sport and Exercise Physiologists. In our research, we deploy multiple sensors on horses and jockeys while they engage in horse-racing training exercises. The Exercise Physiologists aim to identify events which contribute most to energy expenditure, and classify both the horse and jockey movement using basic accelerometer sensors. We propose a metadata driven approach to enriching the raw sensor data using a series of Profiles. This data then forms the basis of user defined algorithms to detect events using an Event-Condition-Action approach. We provide an Event Definition interface which is used to construct algorithms based on sensor measurements both before and after integration. The result enables the end user to express high level queries to meet their information needs.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Event-Condition-Action; sensors
Subjects:Computer Science > Computer software
Computer Science > Information storage and retrieval systems
Medical Sciences > Sports sciences
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance
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:Data Warehousing and Knowledge Discovery. Lecture Notes in Computer Science 6862. Springer-Verlag.
Official URL:
Copyright Information:© 2011 Springer-Verlag. The original publication is available at
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland (SFI)
ID Code:16582
Deposited On:12 Dec 2011 11:48 by Kenneth Conroy. Last Modified 13 Jan 2017 13:09

Download statistics

Archive Staff Only: edit this record