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Real-time football analysis with StreamTeam

URI
https://arbor.bfh.ch/handle/arbor/38932
Version
Published
Date Issued
2017
Author(s)
Probst, Lukas
Brix, Frederik
Schuldt, Heiko
Rumo, Martin  
Type
Conference Paper
Language
English
Subjects

Real-time Football An...

Abstract
In the last years, the analysis of data in sports has received considerable attention, especially due to the wide availability of unobtrusive wearable sensors. While most approaches focus on the (post-hoc) monitoring of individuals, a big and still largely unsolved challenge is the monitoring of the tactical behavior and tactical compliance of entire teams in real-time. In this paper, we introduce STREAMTEAM, a novel and extensible workflow-based approach to analyze data streams and to detect complex team events in real-time. We show the application of STREAMTEAM to data sets coming from sensors attached to players of football teams.
ISBN
9781450350655
Publisher DOI
10.1145/3093742.3095089
Publisher URL
https://dl.acm.org/doi/10.1145/3093742.3095089
Organization
Sporttechnologie  
Conference
11th ACM International Conference on Distributed and Event-based Systems
Publisher
ACM
Submitter
ServiceAccount
Citation apa
Probst, L., Brix, F., Schuldt, H., & Rumo, M. (2017). Real-time football analysis with StreamTeam. 11th ACM International Conference on Distributed and Event-based Systems. ACM. https://arbor.bfh.ch/handle/arbor/38932
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