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  2. School of Engineering
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  4. Publikationen School of Engineering
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dc.contributor.authorFrey, Martin-
dc.contributor.authorMurina, Elvis-
dc.contributor.authorRohrbach, Janick-
dc.contributor.authorWalser, Manuel-
dc.contributor.authorHaas, Patrick-
dc.contributor.authorDettling, Marcel-
dc.date.accessioned2019-08-29T14:51:45Z-
dc.date.available2019-08-29T14:51:45Z-
dc.date.issued2019-06-14-
dc.identifier.isbn978-1-7281-3105-4de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18045-
dc.description.abstractIn recent years, analytics became increasingly important in sports. Newly developed, wearable tracking devices allow football players to log position and motion data during a game. These data can be exploited for enhancing the performance of individual players and entire teams. We present different machine learning approaches to predict spatial football player positions, which serve for advanced tactical analyses.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectSport analyticsde_CH
dc.subjectSoccerde_CH
dc.subjectFootballde_CH
dc.subjectMachine learningde_CH
dc.subjectRandom forestde_CH
dc.subjectGradient boostingde_CH
dc.subjectDeep learningde_CH
dc.subjectConvolutional neural networkde_CH
dc.subjectComputer visionde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleMachine learning for position detection in footballde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
dc.identifier.doi10.1109/SDS.2019.00009de_CH
zhaw.conference.details6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end112de_CH
zhaw.pages.start111de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedings2019 6th Swiss Conference on Data Science (SDS)de_CH
zhaw.funding.zhawEntwicklung von Algorithmen zur Analyse von Fussballspielern und Spielsituationen anhand von Bewegungsdatende_CH
zhaw.author.additionalNode_CH
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Frey, M., Murina, E., Rohrbach, J., Walser, M., Haas, P., & Dettling, M. (2019). Machine learning for position detection in football [Conference paper]. 2019 6th Swiss Conference on Data Science (SDS), 111–112. https://doi.org/10.1109/SDS.2019.00009
Frey, M. et al. (2019) ‘Machine learning for position detection in football’, in 2019 6th Swiss Conference on Data Science (SDS). IEEE, pp. 111–112. Available at: https://doi.org/10.1109/SDS.2019.00009.
M. Frey, E. Murina, J. Rohrbach, M. Walser, P. Haas, and M. Dettling, “Machine learning for position detection in football,” in 2019 6th Swiss Conference on Data Science (SDS), Jun. 2019, pp. 111–112. doi: 10.1109/SDS.2019.00009.
FREY, Martin, Elvis MURINA, Janick ROHRBACH, Manuel WALSER, Patrick HAAS und Marcel DETTLING, 2019. Machine learning for position detection in football. In: 2019 6th Swiss Conference on Data Science (SDS). Conference paper. IEEE. 14 Juni 2019. S. 111–112. ISBN 978-1-7281-3105-4
Frey, Martin, Elvis Murina, Janick Rohrbach, Manuel Walser, Patrick Haas, and Marcel Dettling. 2019. “Machine Learning for Position Detection in Football.” Conference paper. In 2019 6th Swiss Conference on Data Science (SDS), 111–12. IEEE. https://doi.org/10.1109/SDS.2019.00009.
Frey, Martin, et al. “Machine Learning for Position Detection in Football.” 2019 6th Swiss Conference on Data Science (SDS), IEEE, 2019, pp. 111–12, https://doi.org/10.1109/SDS.2019.00009.


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