Sökning: "examensarbete fotboll"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden examensarbete fotboll.

  1. 1. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sandra Tor; [2023]
    Nyckelord :Machine Learning; Autoencoders; Masked autoencoders; Time series; Trajectory modeling; Time series modeling; Anomaly detection; Anomaly correction; Football; Maskininlärning; Autoencoders; Maskerade autoencoders; Tidsserie; Banmodellering; Tidsseriemodellering; Avvikelsedetektering; Avvikelsekorrigering; Fotboll;

    Sammanfattning : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. LÄS MER

  3. 2. Graph Neural Networks for Events Detection in Football

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Giovanni Castellano; [2023]
    Nyckelord :Machine Learning; Graph Neural Network; Recurrent Neural Network; Trajectory Data; Football; Events Detection; Maskininlärning; Graph Neural Network; Recurrent Neural Network; Bandata; fotboll; händelsedetektering;

    Sammanfattning : Tracab’s optical tracking system allows to track the 2-dimensional trajectories of players and ball during a football game. Using this data it is possible to train machine learning models to identify events that happen during the match. LÄS MER

  4. 3. Recognition of Game Phases in Football by Using Team’s GNSS Tracking Data

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Sanna Talonen-Torstensson; [2022]
    Nyckelord :Football; GNSS; GPS; Event Data; Team Formation; Game Phases; Fotboll; GNSS; GPS; Händelsedata; Lag formation; Spelfaser;

    Sammanfattning : Positional tracking data is widely used in football for performance analysis. Many teams use GNSS integrated wearable devices to track physical metrics. However, utilizing GNSS data for tactical analysis is not common practice today. This thesis project aims to examine if GNSS data can be used in recognizing game phases in football. LÄS MER

  5. 4. Fotbolltracker

    Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Oliver Olsson; Erik Svensson; [2021]
    Nyckelord :;

    Sammanfattning : To collect data from different practitioners within different kinds of sport is something that is growing. The data can be used for various purposes, but above all, it is how the players and the practitioners can develop and perfect their skills. LÄS MER

  7. 5. Studying American Football with Finite Element Analysis and Video Analysis

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Daniel Sliwinski; [2021]
    Nyckelord :Medical Engineering; Helmet to Helmet impacts; Helmet to Ground impacts; Finite Element Analysis; Video Analysis; GHBMC; Maximum Principal Strain; American Football; Medicinsk teknik; Hjälm mot hjälm tackling; Hjälm mot mark tackling; Videoanalys; Finite Element analys; GHBMC; Maximum Principal Strain; Amerikansk fotboll;

    Sammanfattning : Head injuries in American football is a serious issue regarding player health which is highly affected by velocity and its direction. Impact location can affect the severity of the head injury in both helmet-to-helmet impacts and helmet-to-ground impacts hence the understanding of concussive outcome from velocities and impact locations must be improved. LÄS MER