PlayNet: Real-time Handball Play Classification with Kalman Embeddings and Neural Networks Dataset

  1. Mures, Omar A. 1
  2. Taibo, Javier 2
  3. Padrón, Emilio J. 2
  4. Iglesias-Guitian, Jose A. 2
  1. 1 Universidade da Coruña, A Coruña (Spain) - Cinfo, A Coruña (Spain)
  2. 2 Universidade da Coruña, A Coruña (Spain)

Editor: Zenodo

Año de publicación: 2022

Tipo: Dataset

DOI: 10.5281/ZENODO.8220670 lock_openAcceso abierto editor

Resumen

Handball play classification dataset. On one hand we have player position and direction (x, y, vx, vy) estimated with a Kalman Filter, and on the other the ball position. For each tuple there is an associated play (right_attack, left_attack, right_transition, left_transition, time_out, right_penal, left_penal). There are two splits train and test.