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Extracting tennis statistics from wireless sensing environments
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Source ACM International Conference Proceeding Series archive
Proceedings of the Sixth International Workshop on Data Management for Sensor Networks table of contents
Lyon, France
SESSION: Short papers and demos table of contents
Article No. 5  
Year of Publication: 2009
ISBN:978-1-60558-777-6
Authors
Adel Shaeib  Dublin City University, Glasnevin, Dublin, Ireland
Kenneth Conroy  Dublin City University, Glasnevin, Dublin, Ireland
Mark Roantree  Dublin City University, Glasnevin, Dublin, Ireland
Sponsors
: Olsonet, Inc. (Canada)
: Swiss National Center for Mobile Information and Communication Systems (NCCRMICS) (Switzerland)
: Arch Rock Corporation (USA)
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Huang Y-P. and Chiou C-L. and Sandnes F. E. An intelligent strategy for the automatic detection of highlights in tennis video recordings, in Expert Systems with Applications (ESWA), 2009.
 
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5
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7
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