Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Applying Visualization to Understand Sports Data and Predict Results, featured in 'IEEE Computer Graphics and Applications'
Ist Teil von
PR Newswire, 2016
Ort / Verlag
New York: PR Newswire Association LLC
Erscheinungsjahr
2016
Link zum Volltext
Beschreibungen/Notizen
Readers of this special issue will gain practical input from thought leaders and researchers with articles including: "Sports Tournament Predictions Using Direct Manipulation," by Romain Vuillemot and Charles Perin; "Using Gap Charts to Visualize the Temporal Evolution of Ranks and Scores," by Charles Perin, Jeremy Boy, and Frederic Vernier; "Director's Cut: Analysis and Annotation of Soccer Matches," by Manuel Stein, Halldor Janetzko, Thorsten Breitkreutz, Daniel Seebacher, Tobias Schreck, Michael Grossniklaus, Iain D. Couzin, and Daniel A. Keim; "StatCast Dashboard: Exploration of Spatiotemporal Baseball Data," by Marcos Lage, Jorge Piazentin Ono, Daniel Cervone, Justin Chiang, Carlos Dietrich, and Claudio T. Silva; and "Wearable Real-Time Skateboard Trick Visualization and Its Community Perception," by Benjamin H. Groh, Jasmin Flaschka, Markus Wirth, Thomas Kautz, Martin Fleckenstein, and Bjoern M. Esko-fier For every major sport, analysts can and often do extract large amounts of data, which can be leveraged by media and fans (for entertainment), athletes (to improve individual and team performance), and organizations (to yield a deeper understanding of the sport itself).