Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery - Archive ouverte HAL Access content directly
Other Publications Acceso : Revista Puertorriqueña de Bibliotecología y Documentación Year : 2022

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

Abstract

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.
Fichier principal
Vignette du fichier
_MLSA22__Knowledge_Discovery_in_Table_Tennis_Sequences.pdf (601.67 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

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

Identifiers

Cite

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, ⟨10.1007/978-3-031-27527-2_8⟩. ⟨hal-03768114⟩
104 View
356 Download

Altmetric

Share

Gmail Facebook X LinkedIn More