Extracting tennis statistics from wireless sensing environments

Authors:
Adel Shaeib;Kenneth Conroy;Mark Roantree
Affiliations:
Dublin City University, Glasnevin, Dublin, Ireland;Dublin City University, Glasnevin, Dublin, Ireland;Dublin City University, Glasnevin, Dublin, Ireland
Venue:
Proceedings of the Sixth International Workshop on Data Management for Sensor Networks
Year:
2009

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Abstract

Creating statistics from sporting events is now widespread with most efforts to automate this process using various sensor devices. The problem with many of these statistical applications is that they require proprietary applications to process the sensed data and there is rarely an option to express a wide range of query types. Instead, applications tend to contain built-in queries with predefined outputs. In the research presented in this paper, data from a wireless network is converted to a structured and highly interoperable format to facilitate user queries by expressing high level queries in a standard database language and automatically generating the results required by coaches.