Del 0 - SpringerBriefs in Applied Sciences and Technology

Ultimate Performance Analysis Tool (uPATO)

Implementation of Network Measures Based on Adjacency Matrices for Team Sports

Häftad, Engelska, 2018

AvFrutuoso G. M. Silva,Quoc Trong Nguyen,Acácio F.P.P. Correia,Filipe Manuel Clemente,Fernando Manuel Lourenço Martins,Acácio F. P. P. Correia

719 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book introduces the ultimate performance analysis tool (uPATO) as a new software to compute social network metrics in the scope of team sports analysis. The reader will identify the algorithms to test the general properties of the team, the co-dependencies and the centrality levels of players, i.e. to evaluate the individual, sub-group, and team performance analysis. As uPATO tool implements the metrics for all options, namely for unweighted graphs, weighted graphs, unweighted digraphs and weighted digraphs, it is also useful for network analysis into other areas beyond team sports. The book assists the reader to compute the metrics and to use it in different scenarios.

Produktinformation

Utgivningsdatum2018-09-11
Mått155 x 235 x 6 mm
Vikt149 g
FormatHäftad
SpråkEngelska
SerieSpringerBriefs in Applied Sciences and Technology
Antal sidor76
Upplaga18001
FörlagSpringer International Publishing AG
ISBN9783319997520

Tillhör följande kategorier

Sportböcker inom Sport, fritid och hobby
Artificiell intelligens inom Data och IT

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.