Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery - Archive ouverte HAL Accéder directement au contenu
Autre Publication Scientifique Acceso : Revista Puertorriqueña de Bibliotecología y Documentación Année : 2022

Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery

Résumé

We report preliminary results to automatically identify effective tactics of elite table tennis players. We define these tactics as subgroups of winning strokes that table tennis experts seek to identify in order to train players and adapt their strategy during play. We first report how we identify and classify these subgroups using the weighted relative accuracy measure (WRAcc). We then present the subgroups using visualizations to communicate these results to our expert. These exchanges allow rapid feedback on our results and makes it possible further improvements to our discoveries.
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Dates et versions

hal-03768114 , version 1 (02-09-2022)

Identifiants

  • HAL Id : hal-03768114 , version 1

Citer

Pierre Duluard, Xinqing Li, Marc Plantevit, Céline Robardet, Romain Vuillemot. Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery. ECML/PKDD 2022 Workshop, Grenoble, France, 2022. ⟨hal-03768114⟩
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