Shortcuts
Top of page (Alt+0)
Page content (Alt+9)
Page menu (Alt+8)
Your browser does not support javascript, some WebOpac functionallity will not be available.
PageMenu
-
Hauptmenü
-
Suchmenü
Einfache Suche
.
Erweiterte Suche
.
Zeitschriften-Suche
.
Suchergebnisse verfeinern
.
Neuerwerbungsliste nach Gruppen
.
Sortierreihenfolge
.
Benutzerdienste
Nutzeranmeldung
.
Mein Konto
.
Erwerbungsvorschlag
.
Fernleihe
.
Vormerkung
.
Verlängerung
.
Weitere Recherchemöglichkeiten
Datenbankinfosystem (DBIS)
.
Karlsruher virtueller Katalog (KVK)
.
Regensburger Systematik (RVK)
.
Elektronische Zeitschriften (EZB)
.
Zeitschriftendatenbank (ZDB)
.
Sitzung beenden
Katalog verlassen
.
Homepage WHZ
.
Hochschulbibliothek
.
© LIBERO v6.4.1sp240211
Page content
Sie befinden sich hier
:
>
Suchergebnisse
>
E-Mail versenden
Kategorienanzeige
Kategorienanzeige
MAB
Computational Metrics for Soccer Analysis: Connecting the dots
Kategorie
Beschreibung
036a
XA-DE
037b
eng
087q
978-3-319-59028-8
100
Clemente, Filipe Manuel
104b
Martins, Fernando Manuel Lourenço ¬[VerfasserIn]¬
108b
Sequeiros, João Bernardo ¬[VerfasserIn]¬
112b
Correia, Acácio ¬[VerfasserIn]¬
116b
Silva, Frutuoso G. M. ¬[VerfasserIn]¬
331
Computational Metrics for Soccer Analysis
335
Connecting the dots
410
Cham
412
Springer
425
2018
425a
2018
433
Online-Ressource (XIII, 79 p. 27 illus., 21 illus. in color, online resource)
451b
SpringerBriefs in Applied Sciences and Technology
527
Druckausg.ISBN: 978-3-319-59028-8
527
Printed editionISBN: 978-3-319-59028-8
540a
ISBN 978-3-319-59029-5
700
|TJK
700
|TEC041000
700b
|621.382
700c
|TK1-9971
750
This book provides an account of the use of computational tactical metrics in improving sports analysis, in particular the use of Global Positioning System (GPS) data in soccer. As well as offering a practical perspective on collective behavioural analysis, it introduces the computational metrics available in the literature that allow readers to identify collective behaviour and patterns of play in team sports. These metrics only require the bio-dimensional geo-referencing information from GPS or video-tracking systems to provide qualitative and quantitative information about the tactical behaviour of players and the inter-relationships between teammates and their opponents. Exercises, experimental cases and algorithms enable readers to fully comprehend how to compute these metrics, as well as introducing them to the ultimate performance analysis tool, which is the basis to run them on. The script to compute the metrics is presented in Python. The book is a valuable resource for professional analysts as well students and researchers in the field of sports analysis wanting to optimise the use of GPS trackers in soccer.
012
495034681
081
Clemente, Filipe Manuel: Computational Metrics for Soccer Analysis
100
Springer E-Book
125a
Elektronischer Volltext - Campuslizenz
655e
$uhttp://dx.doi.org/10.1007/978-3-319-59029-5
Schnellsuche
Suche nach