Real-time football analysis with StreamTeam

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

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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:

Admin import user

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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