Full metadata
Title
REAL-TIME AND CROWD SOURCING BASEBALL STATISTICS IN A MOBILE APPLICATION
Description
The area of real-time baseball statistics presents several challenges that can be addressed using mobile devices. In order to accurately record real-time statistics, it is necessary to present the user with a concise interface that can be used to quickly record the necessary data during in-game events. In this project, we use a mobile application to address this by separating out the required input into pre-game and in-game inputs. We also explore the use of a mobile application to leverage crowd sourcing techniques, which address the challenge of accuracy and precision in subjective real-time statistics.
Date Created
2013-05
Contributors
- Van Egmond, Eric David (Author)
- Tadayon-Navabi, Farideh (Thesis director)
- Wilkerson, Kelly (Committee member)
- Gorla, Mark (Committee member)
- Barrett, The Honors College (Contributor)
- Computer Science and Engineering Program (Contributor)
Topical Subject
Resource Type
Extent
10 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2012-2013
Handle
https://hdl.handle.net/2286/R.I.17049
Level of coding
minimal
Cataloging Standards
System Created
- 2017-10-30 02:50:57
System Modified
- 2021-08-11 04:09:57
- 3 years 3 months ago
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