Ultimate Performance Analysis Tool (Upato): Implementation of Network Measures Based on Adjacency Matrices for Team Sports

ISBN-13: 9783319997520 / Angielski / Miękka / 2018 / 76 str.

Frutuoso Silva; Quoc Trong Nguyen; Acacio F. P. P. Correia

Opis

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.

Spis treści

Network Analysis Tools.- uPATO Tool: Overview.- uPATO: Individual metrics.- uPATO: Collective metrics.- uPATO: A Case Study.

O autorze

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.