Recognition of Recurrent Movement Patterns of Football Players via Machine Learning-Reference-Cited by-同舟云学术

Recognition of Recurrent Movement Patterns of Football Players via Machine Learning

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Melloni Daniele¹,Zingoni Andrea¹,Morachioli Andrea²,Calabro Giuseppe¹

Affiliation:

1. Università degli studi della Tuscia,Viterbo,Italy

2. Net Log s.r.l.s.,Cassino,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9967443/9967445/09967555.pdf?arnumber=9967555

Reference26 articles.

1. Discovering frequently recurring movement sequences in team-sport athlete spatiotemporal data

2. A Football Shot Action Recognition Method Based on Deep Learning Algorithm

3. Team activity recognition in Association Football using a Bag-of-Words-based method

4. A Context-Aware Loss Function for Action Spotting in Soccer Videos

5. Comparison of the movement patterns between small- and large-side games training and competition in professional soccer players;giménez;The Journal of Sports Medicine and Physical Fitness,2017

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