Visualization of technical and tactical characteristics in fencing

(Visualisierung technischer und taktischer Merkmale im Fechten)

Fencing is a sport that relies heavily on the use of tactics. However, most existing methods for analyzing fencing data are based on statistical models in which hidden patterns are difficult to discover. Unlike sequential games, such as tennis and table tennis, fencing is a type of simultaneous game. Thus, the existing methods on the sports visualization do not operate well for fencing matches. In this study, we cooperated with experts to analyze the technical and tactical characteristics of fencing competitions. To meet the requirements of the fencing experts, we designed and implemented FencingVis, an interactive visualization system for fencing competition data. The action sequences in the bout are first visualized by modified bar charts to reveal the actions of footwork and bladework of both fencers. Then an interactive technique is provided for exploring the patterns of behavior of fencers. The different combinations of tactical behavior patterns are further mapped to the graph model and visualized by a tactical flow graph. This graph can reveal the different strategies adopted by both fencers and their mutual influence in one bout. We also provided a number of well-coordinated views to supplement the tactical flow graph and display the information of the fencing competition from different perspectives. The well-coordinated views are meant to organically integrate with the tactical flow graph through consistent visual style and view coordination. We demonstrated the usability and effectiveness of the proposed system with three case studies. On the basis of expert feedback, FencingVis can help analysts find not only the tactical patterns hidden in fencing bouts, but also the technical and tactical characteristics of the contestant.
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Schlagworte: Fechten Leistung Visualisierung Software Technologie Bewegung Taktik Sportler Sportgerät Feedback
Notationen: Naturwissenschaften und Technik Kampfsportarten
Tagging: Datenanalyse
DOI: 10.1007/s12650-018-0521-3
Veröffentlicht in: Journal of Visualization
Veröffentlicht: 2019
Jahrgang: 22
Seiten: 109-124
Dokumentenarten: Artikel
Sprache: Englisch
Level: hoch