4.6 Review

Techniques to derive and clean acceleration and deceleration data of athlete tracking technologies in team sports: A scoping review

期刊

JOURNAL OF SPORTS SCIENCES
卷 40, 期 16, 页码 1772-1800

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/02640414.2022.2054535

关键词

Acceleration; deceleration; tracking system; data filter; GPS; team sport

资金

  1. Australian Government Research Training Program (RTP) Scholarship

向作者/读者索取更多资源

The application of acceleration and deceleration data in team sports is common practice, but there are inconsistencies in the methodological procedures used to quantify and clean the data. This review aims to systematically map and summarize these procedures, and highlight the research gaps that need to be addressed in future studies.
The application of acceleration and deceleration data as a measure of an athlete's physical performance is common practice in team sports. Acceleration and deceleration are monitored with athlete tracking technologies during training and games to quantify training load, prevent injury and enhance performance. However, inconsistencies exist throughout the literature in the reported methodological procedures used to quantify acceleration and deceleration. The object of this review was to systematically map and provide a summary of the methodological procedures being used on acceleration and deceleration data obtained from athlete tracking technologies in team sports and describe the applications of the data. Systematic searches of multiple databases were undertaken. To be included, studies must have investigated full body acceleration and/or deceleration data of athlete tracking technologies. The search identified 276 eligible studies. Most studies (60%) did not provide information on how the data was derived and what sequence of steps were taken to clean the data. Acceleration and deceleration data were commonly applied to quantify and describe movement demands using effort metrics. This scoping review identified research gaps in the methodological procedures and deriving and cleaning techniques that warrant future research focussing on their effect on acceleration and deceleration data.

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