Differentiating movement styles in professional tennis: A machine learning and hierarchical clustering approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Differentiating movement styles in professional tennis: A machine learning and hierarchical clustering approach

Published:2021-12-30 Issue: Volume: Page:1-10
ISSN:1746-1391
Container-title:European Journal of Sport Science
language:en
Short-container-title:European Journal of Sport Science

Author:

Giles Brandon¹²,Peeling Peter¹³^ORCID,Kovalchik Stephanie⁴²,Reid Machar¹²

Affiliation:

1. School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Perth, Australia

2. Game Insight Group, Tennis Australia, Melbourne, Australia

3. Western Australian Institute of Sport, Mt Claremont, Australia

4. Institute for Health and Sport, Victoria University, Melbourne, Australia

Publisher

Informa UK Limited

Subject

Orthopedics and Sports Medicine,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/17461391.2021.2006800

Reference24 articles.

1. Dimension reduction in functional regression with applications

2. Model-Based Gaussian and Non-Gaussian Clustering

3. External loading of the knee joint during running and cutting maneuvers

4. A dendrite method for cluster analysis

Cited by 11 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. An application of clustering to classify movement patterns in men’s professional grand slam hard court tennis;International Journal of Performance Analysis in Sport;2024-07-31

2. Applications of Machine Learning to Optimize Tennis Performance: A Systematic Review;Applied Sciences;2024-06-25

3. A measure of the importance of moment for ball-strike counts in a baseball plate appearance;Journal of Sports Sciences;2024-06-02

4. Prediction of Leaf Break Resistance of Green and Dry Alfalfa Leaves by Machine Learning Methods;Applied Sciences;2024-02-18

5. Machine Learning in Biomechanics: Enhancing Human Movement Analysis;Artificial Intelligence in Sports, Movement, and Health;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3