Ultimate Performance Analysis Tool (uPATO): Implementation of Network Measures Based on Adjacency Matrices for Team Sports: SpringerBriefs in Applied Sciences and Technology
Autor Frutuoso G. M. Silva, Quoc Trong Nguyen, Acácio F.P.P. Correia, Filipe Manuel Clemente, Fernando Manuel Lourenço Martinsen Limba Engleză Paperback – 11 sep 2018
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Specificații
ISBN-13: 9783319997520
ISBN-10: 3319997521
Pagini: 76
Ilustrații: XI, 76 p. 31 illus., 28 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.14 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Applied Sciences and Technology
Locul publicării:Cham, Switzerland
ISBN-10: 3319997521
Pagini: 76
Ilustrații: XI, 76 p. 31 illus., 28 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.14 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Applied Sciences and Technology
Locul publicării:Cham, Switzerland
Cuprins
Network Analysis Tools.- uPATO Tool: Overview.- uPATO: Individual metrics.- uPATO: Collective metrics.- uPATO: A Case Study.
Notă biografică
1) Frutuoso G. M. Silva is Assistant Professor at the Department of Computer Science at UBI and leader of the Regain group of Instituto de Telecomunicações (IT), Portugal. His research interests include geometric modeling, augmented reality, and computer games.
Quoc Trong Nguyen is a PhD student and researcher at the Instituto de Telecomunicacões, Universidade da Beira Interior, Covilhã, Portugal. His research interests include geometric computing, point-based graphics, and visualization.
Acácio F. P. P. Correia has recently finished a Master’s Degree in Computer Science and Engineering, at the Universidade da Beira Interior. His professional interests include procedural generation, artificial intelligence, natural language processing, cryptography and video game development.
Filipe Manuel Clemente is Assistant Professor at the Instituto Politécnico de Viana do Castelo and researcher in Instituto de Telecomunicações, Delegação da Covilhã (Portugal). He has conducted studies in performance analysis, match analysis, computational tactical metrics, network analysis applied to team sports analysis, small-sided and conditioned games, physical activity and health and sports medicine.
Fernando Manuel Lourenço Martins is the Scientific Coordinator of Applied Mathematics group in Instituto de Telecomunicações, Delegação da Covilhã, Portugal and Professor and Course Director of Basic Education in Instituto Politécnico de Coimbra. His research interests include advances in network analysis applied to team sports and assessment of inter-actions between children, statistical analysis in team sports and mathematical and statistical knowledge for teaching.
Quoc Trong Nguyen is a PhD student and researcher at the Instituto de Telecomunicacões, Universidade da Beira Interior, Covilhã, Portugal. His research interests include geometric computing, point-based graphics, and visualization.
Acácio F. P. P. Correia has recently finished a Master’s Degree in Computer Science and Engineering, at the Universidade da Beira Interior. His professional interests include procedural generation, artificial intelligence, natural language processing, cryptography and video game development.
Filipe Manuel Clemente is Assistant Professor at the Instituto Politécnico de Viana do Castelo and researcher in Instituto de Telecomunicações, Delegação da Covilhã (Portugal). He has conducted studies in performance analysis, match analysis, computational tactical metrics, network analysis applied to team sports analysis, small-sided and conditioned games, physical activity and health and sports medicine.
Fernando Manuel Lourenço Martins is the Scientific Coordinator of Applied Mathematics group in Instituto de Telecomunicações, Delegação da Covilhã, Portugal and Professor and Course Director of Basic Education in Instituto Politécnico de Coimbra. His research interests include advances in network analysis applied to team sports and assessment of inter-actions between children, statistical analysis in team sports and mathematical and statistical knowledge for teaching.
Caracteristici
Explains the codification of the network analysis metrics for team sports Presents a software that compiles the metrics referenced in the literature for the network analysis based on adjacency matrices Shows a generic tool that can be used in other contexts besides network analysis in team sports