Blar i NTNU Open på forfatter "Moura, Felipe Arruda"
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Football player dominant region determined by a novel model based on instantaneous kinematics variables
Caetano, Fabio Giuliano; Barbon Junior, Sylvio; Torres, Ricardo Da Silva; Cunha, Sergio Augusto; Ruffino, Paulo Régis Caron; Martins, Luiz Eduardo Barreto; Moura, Felipe Arruda (Journal article; Peer reviewed, 2021)Dominant regions are defned as regions of the pitch where a player can reach before any other and are commonly determined without considering the free-spaces in the pitch. We presented an approach to football players’ ... -
Multiscale fractal dimension applied to tactical analysis in football: A novel approach to evaluate the shapes of team organization on the pitch
Bueno, Murilo José de Oliveira; Silva, Maisa; Cunha, Sergio Augusto; Torres, Ricardo Da Silva; Moura, Felipe Arruda (Journal article; Peer reviewed, 2021)The aim of this study was to evaluate different shape descriptors applied to images of polygons that represent the organization of football teams on the pitch. The effectiveness of different shape descriptors (area/perimeter, ... -
Penalty feet positioning rule modification and laterality effect on soccer goalkeepers’ diving kinematics
Monteiro, Rafael Luiz Martins; Bedo, Bruno Luiz Souza; Monteiro, Pedro Henrique Martins; de Andrade, Felipe dos Santos Pinto; Moura, Felipe Arruda; Cunha, Sergio Augusto; Torres, Ricardo; Memmert, Daniel; Santiago, Paulo Roberto Pereira (Peer reviewed; Journal article, 2022)In 2019, a new rule was applied in soccer. It allows the goalkeeper to have only one foot or part of it on the goal line when the kicker hits the ball, unlike the previous rule that determined the goalkeeper should have ... -
Sport action mining: Dribbling recognition in soccer
Barbon Junior, Sylvio; Pinto, Allan; Barroso, João Vitor; Caetano, Fabio Giuliano; Moura, Felipe Arruda; Cunha, Sergio Augusto; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2021)Recent advances in Computer Vision and Machine Learning empowered the use of image and positional data in several high-level analyses in Sports Science, such as player action classifcation, recognition of complex human ...