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Multi-user equipment approved in great 16/50250-1: local positioning system

Grant number: 17/20945-0
Support type:Multi-user Equipment Program
Duration: December 01, 2017 - November 30, 2024
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal researcher:Sergio Augusto Cunha
Grantee:Sergio Augusto Cunha
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:16/50250-1 - The secret of playing football: Brazil versus the Netherlands, AP.TEM
As informações de acesso ao Equipamento Multiusuário são de responsabilidade do Pesquisador responsável
EMU web page: Página do Equipamento Multiusuário não informada
Type of equipment:Caracterização e Análises de Amostras - Movimento - Video em baixa velocidade
Manufacturer: Fabricante não informado
Model: Modelo não informado

Abstract

The scientific challenge is about unravelling the secret of Brazilian and Dutch soccer by capturing successful elements of game play of both countries by combining expertise from data science, computer science and sport science. Suggested features from the literature, as well as several novel ones, will be considered and filtered on how they capture success in soccer. A manageable set of features will then be obtained from the various available Dutch datasets (focusing on successful play). Subsequently, the same features will be used to compare playing styles between the two countries. Features of game play will be approached from two different angles. The first angle (spearheaded by the Brazilian computer science partner) concerns features that capture the dynamics of game play and characterize aspects of formation on the pitch. The second angle (lead by the Dutch data science partner) will focus on how an attack is built up, and how key events (shots on goal, transitions from defenders to midfielders, etc.) can help to characterize this. For the comparison between countries data will be collected in four different age categories in Brazil and the Netherlands during official games, in order to compare (the development of) game play between both countries. Data will be collected by means of the Local Position Measurement System, for reasons of accuracy and consistency. The applied science part of this proposal is focusing on bridging the gap between fundamental science and soccer practice, i.e. coaches, trainers, clubs and federations. The outcomes of the fundamental part will be implemented in a coach-cockpit, a software application which trainers and coaches can use to (1) decide upon their strategy before a game, (2) analyze player- and team behavior during a game enabling to adjust the strategy accordingly, and (3) choose and/or design training forms to improve player- and team behavior. (AU)

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Scientific publications (34)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BARBON JUNIOR, SYLVIO; PINTO, ALLAN; BARROSO, JOAO VITOR; CAETANO, FABIO GIULIANO; MOURA, FELIPE ARRUDA; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA SILVA. Sport action mining: Dribbling recognition in soccer. MULTIMEDIA TOOLS AND APPLICATIONS, DEC 2021. Web of Science Citations: 0.
MERLIN, MURILO; PINTO, ALLAN; DE ALMEIDA, ALEXANDRE GOMES; MOURA, FELIPE A.; TORRES, RICARDO DA SILVA; CUNHA, SERGIO AUGUSTO. Classification and determinants of passing difficulty in soccer: a multivariate approach. SCIENCE AND MEDICINE IN FOOTBALL, OCT 2021. Web of Science Citations: 0.
CAETANO, FABIO GIULIANO; BARBON JUNIOR, SYLVIO; TORRES, RICARDO DA SILVA; CUNHA, SERGIO AUGUSTO; RUFFINO, PAULO REGIS CARON; MARTINS, LUIZ EDUARDO BARRETO; MOURA, FELIPE ARRUDA. Football player dominant region determined by a novel model based on instantaneous kinematics variables. SCIENTIFIC REPORTS, v. 11, n. 1 SEP 14 2021. Web of Science Citations: 0.
DE OLIVEIRA BUENO, MURILO JOSE; SILVA, MAISA; CUNHA, SERGIO AUGUSTO; TOFFEE, RICARDO DA SILVA; MOURA, FELIPE ARRUDA. Multiscale fractal dimension applied to tactical analysis in football: A novel approach to evaluate the shapes of team organization on the pitch. PLoS One, v. 16, n. 9 SEP 1 2021. Web of Science Citations: 0.
PALUCCI VIEIRA, LUIZ H.; KALVA-FILHO, CARLOS A.; SANTINELLI, FELIPE B.; CLEMENTE, FILIPE M.; CUNHA, SERGIO A.; SCHIMIDT, V, CAROLINE; BARBIERI, FABIO A. Lateral Preference and Inter-limb Asymmetry in Completing Technical Tasks During Official Professional Futsal Matches: The Role of Playing Position and Opponent Quality. FRONTIERS IN PSYCHOLOGY, v. 12, AUG 19 2021. Web of Science Citations: 0.
FADEL, SAMUEL G.; MAIR, SEBASTIAN; DA SILVA TORRES, RICARDO; BREFELD, ULF. Contextual movement models based on normalizing flows. AStA-Advances in Statistical Analysis, AUG 2021. Web of Science Citations: 0.
FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LUCIO. On the prediction of long-lived bugs: An analysis and comparative study using FLOSS projects. INFORMATION AND SOFTWARE TECHNOLOGY, v. 132, APR 2021. Web of Science Citations: 0.
PEREIRA, ERICO M.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A. A genetic algorithm approach for image representation learning through color quantization. MULTIMEDIA TOOLS AND APPLICATIONS, v. 80, n. 10, p. 15315-15350, APR 2021. Web of Science Citations: 0.
GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; TORRES, RICARDO DA S. A BFS-Tree of ranking references for unsupervised manifold learning. PATTERN RECOGNITION, v. 111, MAR 2021. Web of Science Citations: 0.
PEREIRA, ERICO M.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A. A genetic algorithm approach for image representation learning through color quantization. MULTIMEDIA TOOLS AND APPLICATIONS, v. 80, n. 10 FEB 2021. Web of Science Citations: 0.
DIAS, DANIELLE; DIAS, ULISSES; MENINI, NATHALIA; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO DA S. Image-Based Time Series Representations for Pixelwise Eucalyptus Region Classification: A Comparative Study. IEEE Geoscience and Remote Sensing Letters, v. 17, n. 8, p. 1450-1454, AUG 2020. Web of Science Citations: 1.
FADEL, SAMUEL G.; TORRES, RICARDO DA S. Neural relational inference for disaster multimedia retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 79, n. 35-36 JUL 2020. Web of Science Citations: 0.
SILVA, EWERTON; TORRES, RICARDO DA S.; PINTO, ALLAN; LI, LIN TZY; VIANNA, JOSE EDUARDO S.; AZEVEDO, RODOLFO; GOLDENSTEIN, SIOME. Application-Oriented Retinal Image Models for Computer Vision. SENSORS, v. 20, n. 13 JUL 2020. Web of Science Citations: 0.
GUEVARA, JUDY C.; TORRES, RICARDO DA S.; DA FONSECA, NELSON L. S. On the classification of fog computing applications: A machine learning perspective. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 159, JUN 1 2020. Web of Science Citations: 0.
CAETANO, FABIO GIULIANO; DE SOUZA, NICOLAU MELO; BUENO, MURILO JOSE DE OLIVEIRA; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. Interpersonal interaction during official soccer matches considering the coupling of different playing positions. INTERNATIONAL JOURNAL OF PERFORMANCE ANALYSIS IN SPORT, v. 20, n. 4 JUN 2020. Web of Science Citations: 0.
SILVA, EWERTON; TORRES, RICARDO S.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; SILVA, THIAGO S. F. A Change-Driven Image Foveation Approach for Tracking Plant Phenology. REMOTE SENSING, v. 12, n. 9 MAY 2020. Web of Science Citations: 0.
DE OLIVEIRA BUENO, MURILO JOSE; CAETANO, FABIO GIULIANO; DE SOUZA, NICOLAU MELO; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. Variability in tactical behavior of futsal teams from different categories. PLoS One, v. 15, n. 3 MAR 17 2020. Web of Science Citations: 0.
MERLIN, MURILO; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA; TORRES, RICARDO DA SILVA; GONCALVES, BRUNO; SAMPAIO, JAIME. Exploring the determinants of success in different clusters of ball possession sequences in soccer. RESEARCH IN SPORTS MEDICINE, JAN 2020. Web of Science Citations: 0.
CAMPANA, JOSE L. FLORES; PINTO, ALLAN; CORDOVA NEIRA, MANUEL ALBERTO; LORGUS DECKER, LUIS GUSTAVO; SANTOS, ANDREZA; CONCEICAO, JHONATAS S.; TORRES, RICARDO DA SILVA. On the Fusion of Text Detection Results: A Genetic Programming Approach. IEEE ACCESS, v. 8, p. 81257-81270, 2020. Web of Science Citations: 0.
CORDOVA, MANUEL; PINTO, ALLAN; PEDRINI, HELIO; TORRES, RICARDO DA SILVA. Pelee-Text plus plus : A Tiny Neural Network for Scene Text Detection. IEEE ACCESS, v. 8, p. 223172-223188, 2020. Web of Science Citations: 0.
DIAS, DANIELLE; PINTO, ALLAN; DIAS, ULISSES; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO DA S. A Multirepresentational Fusion of Time Series for Pixelwise Classification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 13, p. 4399-4409, 2020. Web of Science Citations: 0.
WERNECK, RAFAEL DE OLIVEIRA; RAVEAUX, ROMAIN; TABBONE, SALVATORE; TORRES, RICARDO DA SILVA. Learning cost function for graph classification with open-set methods. PATTERN RECOGNITION LETTERS, v. 128, p. 8-15, DEC 1 2019. Web of Science Citations: 1.
GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; ALMEIDA, JURANDY; TONES, RICARDO DA S. Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. IEEE Transactions on Image Processing, v. 28, n. 12, p. 5824-5838, DEC 2019. Web of Science Citations: 0.
MUNOZ, JAVIER VARGAS; GONCALVES, MARCOS A.; DIAS, ZANONI; TORRES, RICARDO DA S. Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search. PATTERN RECOGNITION, v. 96, DEC 2019. Web of Science Citations: 0.
CAETANO, FABIO GIULIANO; DA SILVA, VITOR PANULA; TORRES, RICARDO DA SILVA; ANIDO, RICARDO DE OLIVEIRA; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. Analysis of Match Dynamics of Different Soccer Competition Levels Based on The Player Dyads. Journal of Human Kinetics, v. 70, n. 1, p. 173-182, NOV 2019. Web of Science Citations: 0.
FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LTICIO. Bug report severity level prediction in open source software: A survey and research opportunities. INFORMATION AND SOFTWARE TECHNOLOGY, v. 115, p. 58-78, NOV 2019. Web of Science Citations: 0.
PALUCCI VIEIRA, LUIZ H.; AQUINO, RODRIGO; MOURA, FELIPE A.; DE BARROS, RICARDO M. L.; ARPINI, VITOR M.; OLIVEIRA, LUCAS P.; BEDO, BRUNO L. S.; SANTIAGO, PAULO R. P. TEAM DYNAMICS, RUNNING, AND SKILL-RELATED PERFORMANCES OF BRAZILIAN U11 TO PROFESSIONAL SOCCER PLAYERS DURING OFFICIAL MATCHES. JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, v. 33, n. 8, p. 2202-2216, AUG 2019. Web of Science Citations: 1.
UCHOA MAIA RODRIGUES, DANIELE C.; MOURA, FELIPE A.; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA S. Graph visual rhythms in temporal network analyses. GRAPHICAL MODELS, v. 103, MAY 2019. Web of Science Citations: 0.
OLIVEIRA, ALBERTO; OAKLEY, ERIC; TORRES, RICARDO DA SILVA; ROCHA, ANDERSON. Relevance prediction in similarity-search systems using extreme value theory. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 60, p. 236-249, APR 2019. Web of Science Citations: 0.
PALUCCI VIEIRA, LUIZ HENRIQUE; CARLING, CHRISTOPHER; BARBIERI, FABIO AUGUSTO; AQUINO, RODRIGO; PEREIRA SANTIAGO, PAULO ROBERTO. Match Running Performance in Young Soccer Players: A Systematic Review. SPORTS MEDICINE, v. 49, n. 2, p. 289-318, FEB 2019. Web of Science Citations: 1.
WILSON, ROBBIE S.; SMITH, NICHOLAS M. A.; PEREIRA SANTIAGO, PAULO ROBERTO; CAMATA, THIAGO; RAMOS, SOLANGE DE PAULA; CAETANO, FABIO GIULIANO; CUNHA, SERGIO AUGUSTO; SANDES DE SOUZA, ANA PAULA; MOURA, FELIPE ARRUDA. Predicting the defensive performance of individual players in one vs. one soccer games. PLoS One, v. 13, n. 12 DEC 31 2018. Web of Science Citations: 0.
ESMAEL, AGNALDO APARECIDO; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA SILVA. On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. MULTIMEDIA TOOLS AND APPLICATIONS, v. 77, n. 19, p. 24565-24592, OCT 2018. Web of Science Citations: 0.
MARIANO, GREICE C.; STAGGEMEIER, VANESSA G.; CERDEIRA MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA S. Multivariate cyclical data visualization using radial visual rhythms: A case study in phenology analysis. ECOLOGICAL INFORMATICS, v. 46, p. 19-35, JUL 2018. Web of Science Citations: 2.
CORDOVA NEIRA, MANUEL ALBERTO; MENDES JUNIOR, PEDRO RIBEIRO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Data-Fusion Techniques for Open-Set Recognition Problems. IEEE ACCESS, v. 6, p. 21242-U24, 2018. Web of Science Citations: 3.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.