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SciSports – Player Evaluation In Soccer Using 2D Tracking Data.pdf

SciSports-Van-echte-naar-virtuele-loopjes.pdf
Preview of SciSports – Player Evaluation in Soccer Using 2D Tracking Data
🔗 Source: swi-wiskunde.nl
📊 Size: 2.78 MB
📄 Pages: 3 pages
⬇️ Downloads: 65

Summary

SciSports is een bedrijf dat voetbaldata analyseert en wil graag 3D-data van spelers verzamelen om een FIFA-achtige simulatie te maken. Het bedrijf werkt aan methoden om data te verwerven en te analyseren, en heeft de Studiegroep Wiskunde met de Industrie om hulp gevraagd bij de analyse van 2D-positiedata van spelers en de bal. De groep heeft machine learning-methoden gebruikt om looppatronen van spelers te genereren en heeft twee methoden uitgeprobeerd: GAN en VAE. De resultaten waren veelbelovend, maar nog wat grof vanwege de korte trainingsperiode. Het doel is om uiteindelijk gevaarlijke spelsituaties te kunnen herkennen en een digitale variant van een speler te maken.

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Description

SciSports is een bedrijf dat voetbaldata analyseert en wil graag 3D-data van spelers verzamelen om een FIFA-achtige simulatie te maken.

Technical Information

  • File Format: PDF
  • File Size: 2.78 MB
  • Pages: 3
  • Language: NL
  • Total Downloads: 65
  • Last Updated: 3 weeks ago

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This PDF document about SciSports – Player Evaluation in Soccer Using 2D Tracking Data provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into SciSports – Player Evaluation in Soccer Using 2D Tracking Data.

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