Identifying Basketball Plays from Sensor Data; Towards a Low-Cost Automatic Extraction of Advanced Statistics-Reference-Cited by-同舟云学术

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Identifying Basketball Plays from Sensor Data; Towards a Low-Cost Automatic Extraction of Advanced Statistics

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Data Mining Workshops (ICDMW)
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Author:

Sanguesa Adria Arbues,Moeslund Thomas B.,Bahnsen Chris H.,Iglesias Raul Benitez

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8211022/8215629/08215757.pdf?arnumber=8215757

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A framework for player movement analysis in team sports;Frontiers in Sports and Active Living;2024-08-05

2. Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04

3. Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition Using Wrist-Worn Inertial Sensors;Sensors;2023-06-25

4. Predicting Team Performance with Spatial Temporal Graph Convolutional Networks;2022 26th International Conference on Pattern Recognition (ICPR);2022-08-21

5. A Reinforcement Learning-Based Basketball Player Activity Recognition Method Using Multisensors;Mobile Information Systems;2022-08-09

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