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dc.contributor.advisorJohansen, Dag
dc.contributor.advisorHalvorsen, Pål
dc.contributor.advisorBaptista, Ivan
dc.contributor.authorHilbertsen, Markus Bergum
dc.date.accessioned2022-08-03T05:36:30Z
dc.date.available2022-08-03T05:36:30Z
dc.date.issued2022-05-25en
dc.description.abstractElite football today is infused with technologies for collecting data on players' performance and health. Technologies such as wearable health and fitness trackers, full-body medical scans, and positional systems mounted around a stadium give coaches a wide range of accurate data about their players. However, coaches do not have the time or ability to analyze all this data for each player to give them individualized training schedules. Hence, coaches need tools to collect, analyze, summarize, and present the data to them in a much more consumable format. Existing systems within sports technology are isolated, only collecting their own data and using it for their own purposes. Hence, Sáhka will break out of this norm and create a novel system within this domain. Sáhka is a system that federates relevant data from several different sources. The data is processed, stored, analyzed, and presented visually to the users. Additionally, by collecting a large quantity and variety of data, Sáhka acts as a Big Data repository for real-time sports data. In the future, Sáhka will be used as a platform for training Machine Learning algorithms.en_US
dc.identifier.urihttps://hdl.handle.net/10037/25917
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universitetno
dc.publisherUiT The Arctic University of Norwayen
dc.rights.holderCopyright 2022 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDINF-3981
dc.subjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551en_US
dc.subjectVDP::Technology: 500::Information and communication technology: 550::Computer technology: 551en_US
dc.titleSáhkaen_US
dc.typeMastergradsoppgaveno
dc.typeMaster thesisen


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)