Probst, Lukas; Brix, Frederik; Schuldt, Heiko; Rumo, Martin (2017). Real-time football analysis with StreamTeam In: 11th ACM International Conference on Distributed and Event-based Systems (pp. 319-322). New York, NY: ACM 10.1145/3093742.3095089
Full text not available from this repository. (Request a copy)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.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
Swiss Federal Institute of Sports Magglingen SFISM > EHSM - Leistungssport > Sporttechnologie |
Name: |
Probst, Lukas; Brix, Frederik; Schuldt, Heiko and Rumo, Martin |
ISBN: |
9781450350655 |
Publisher: |
ACM |
Language: |
English |
Submitter: |
Service Account |
Date Deposited: |
24 Nov 2021 13:42 |
Last Modified: |
24 Nov 2021 13:42 |
Publisher DOI: |
10.1145/3093742.3095089 |
Uncontrolled Keywords: |
Real-time Football Analysis |
URI: |
https://arbor.bfh.ch/id/eprint/10442 |
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