Sequential movement pattern-mining (SMP) in field-based team-sport: A framework for quantifying spatiotemporal data and improve training specificity?-Reference-Cited by-同舟云学术

Sequential movement pattern-mining (SMP) in field-based team-sport: A framework for quantifying spatiotemporal data and improve training specificity?

Published:2021-09-27 Issue: Volume: Page:1-11
ISSN:0264-0414
Container-title:Journal of Sports Sciences
language:en
Short-container-title:Journal of Sports Sciences

Author:

White Ryan¹²,Palczewska Anna¹³,Weaving Dan¹²^ORCID,Collins Neil¹⁴,Jones Ben¹²⁴⁵⁶^ORCID

Affiliation:

1. Carnegie Applied Rugby Research (Carr) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK

2. Leeds Rhinos Rugby League Club, Leeds, UK

3. School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds, UK

4. England Performance Unit, Rugby Football League, Leeds, UK

5. School of Science and Technology, University of New England, Armidale, New South Wales, Australia

6. Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, The University of Cape Town and the Sports Science Institute of South Africa, Cape Town, South Africa

Funder

no funding associated with the work

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/02640414.2021.1982484

Reference24 articles.

1. Applications of GPS Technologies to Field Sports

2. Proteomics Quality Control: Quality Control Software for MaxQuant Results

3. Monitoring Athlete Training Loads: Consensus Statement

4. Match Running Performance and Fitness in Youth Soccer

5. Global Positioning Systems (GPS) and Microtechnology Sensors in Team Sports: A Systematic Review

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