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Research on monitoring volleyball players’ competition load based on intelligent tracking technology

  • Published:2021-04 Issue: Volume:82 Page:103881
  • ISSN:0141-9331
  • Container-title:Microprocessors and Microsystems
  • language:en
  • Short-container-title:Microprocessors and Microsystems

Author:

Zhou Xinning

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference16 articles.

1. Volleyball footwork movement teaching mode based on the fusion of frontal double handed overhead pass technical action model;Huang,2019

2. On the construction of the model of excellent men volleyball players' leaping abilities;Liming,2011

3. SS and Statistical Analysis;Chuanhua,2007

4. Relative leaping abilities of native versus invasive cyprinids as criteria for selective barrier design[J];Morán-López;Biological invasions,2017

5. Player tracking using prediction after intersection based particle filter for volleyball match video;Cheng,2014

Cited by 6 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. Training load and players’ readiness monitoring methods used in volleyball;Kinesiology;2024

2. RESEARCH ON CORE STRENGTH TRAINING FOR VOLLEYBALL PLAYERS;Revista Brasileira de Medicina do Esporte;2023

3. Identifying of Talented Students at Elementary Schools Using Volleyball’s Talent Identification;Proceedings of the Unima International Conference on Social Sciences and Humanities (UNICSSH 2022);2023

4. A New Era ın Volleyball: Snow Volleyball;Akdeniz Spor Bilimleri Dergisi;2022-07-05

5. Using a Hanging Ball For Primary School Students on Volleyball Down Passing;ETDC: Indonesian Journal of Research and Educational Review;2022-06-27
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