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.
Details
Title
- REAL-TIME AND CROWD SOURCING BASEBALL STATISTICS IN A MOBILE APPLICATION
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)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2013-05
Resource Type
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