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Data-driven approaches for soccer match analysis: an e-Science perspective

Grant number: 19/17729-0
Support type:Regular Research Grants
Duration: March 01, 2020 - February 28, 2023
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Cooperation agreement: DFG
Principal researcher:Paulo Roberto Pereira Santiago
Grantee:Paulo Roberto Pereira Santiago
Home Institution: Escola de Educação Física e Esporte de Ribeirão Preto (EEFERP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
Assoc. researchers:Allan da Silva Pinto ; Felipe Arruda Moura ; Jerusa Petróvna Resende Lara ; Ricardo da Silva Torres ; Rodrigo Leal de Queiroz Thomaz de Aquino ; Sergio Augusto Cunha ; Ulisses Martins Dias
Associated scholarship(s):21/00050-4 - Data-driven approaches for soccer match analysis: an e-science perspective, BP.TT

Abstract

Huge volumes of Complex Data time series have been generated in various sport-related applications. These data require the definition of effective and efficient services for appropriate data storage, retrieval, and analysis. The term Complex Data refers to the universe of potentially non-structured, multimodal data, and therefore covers a wide variety of data types such as text, sound, image, video, graphs or positional information. Therefore, the present research proposal addresses research issues related to the specification and implementation of appropriate systems to handle large-scale Complex Data time series collections using an e-Science perspective. We expect to benefit from recent advances in state of the art on sport analysis and computer. In particular, concerning feature extraction, machine learning, and data fusion making use of data sets from sport science applications related to soccer match analysis. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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Scientific publications (7)
(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)
GARCIA, GABRIEL RODRIGUES; GONCALVES, LUIZ GUILHERME C.; CLEMENTE, FILIPE MANUEL; NAKAMURA, FABIO YUZO; NOBARI, HADI; SOUZA BEDO, BRUNO LUIZ; AZEVEDO, ANGELO MELIM; GUERRA JR, MAURO ANTONIO; AQUINO, RODRIGO. ffects of congested fixture and matches' participation on internal and external workload indices in professional soccer player. SCIENTIFIC REPORTS, v. 12, n. 1 FEB 3 2022. Web of Science Citations: 0.
CORDOVA, MANUEL; PINTO, ALLAN; HELLEVIK, CHRISTINA CARROZZO; ALALIYAT, SALEH ABDEL-AFOU; HAMEED, IBRAHIM A.; PEDRINI, HELIO; TORRES, RICARDO DA S. itter Detection with Deep Learning: A Comparative Stud. ENSOR, v. 22, n. 2 JAN 2022. Web of Science Citations: 0.
BARBON JUNIOR, SYLVIO; PINTO, ALLAN; BARROSO, JOAO VITOR; CAETANO, FABIO GIULIANO; MOURA, FELIPE ARRUDA; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA SILVA. port action mining: Dribbling recognition in socce. MULTIMEDIA TOOLS AND APPLICATIONS, v. 81, n. 3 DEC 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.
SEGUNDO, MAURICIO PAMPLONA; PINTO, ALLAN; MINETTO, RODRIGO; TORRES, RICARDO DA SILVA; SARKAR, SUDEEP. Measuring Economic Activity From Space: A Case Study Using Flying Airplanes and COVID-19. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 14, p. 7213-7224, 2021. Web of Science Citations: 0.
PALUCCI VIEIRA, LUIZ H.; SANTINELLI, FELIPE B.; CARLING, CHRISTOPHER; KELLIS, ELEFTHERIOS; SANTIAGO, PAULO R. P.; BARBIERI, FABIO A. Acute Effects of Warm-Up, Exercise and Recovery-Related Strategies on Assessments of Soccer Kicking Performance: A Critical and Systematic Review. SPORTS MEDICINE, v. 51, n. 4 DEC 2020. Web of Science Citations: 1.
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.

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