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KMID : 1195020220180010035
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Archives of Orthopedic and Sports Physical Therapy
2022 Volume.18 No. 1 p.35 ~ p.40
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Narrative Review of the Use and Validation of Big Data Analysis Technology in the Sports Science Field
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Lee Jae-Hyuk
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Abstract
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Purpose: With the development of sports science, some major sports have made significant progress overthe past few years by introducing big data analysis technology. Whereas, fitness sports events that are closerto the general public, such as weight training, are slow to use big data analysis techniques to increase theaccuracy and precision of exercise methods. This study aimed to review the current big data analysistechnology and discuss sports scientific application methods that can be used in the fitness field.
Methods: A total of 10 articles related to big data published within the last ten years in sports science andmedical fields were reviewed, and key contents were summarized to suggest a future fitness exercise caseusing big data and sports scientific research methodology.
Results: The successful use of big data analysis in the sports field requires core technologies, including datacollection ans storage, analysis algorithm accuracy, user experience-based interface, network protocols andsecurity etc. As a result of reviewing all articles, an integrated platform was derived that technically providesa function of coaching and notifying accurate posture in 3D model simulation while capturing trainee's postureand movements in real time during fitness exercise, and in terms of research methodology, it was confirmedthat the integrated big data platform needs to be verified through randomized controlled studies onbodybuilding performance, health fitness level, quality of life, and user satisfaction etc.
Conclusion: Through the results of this study, it was confirmed that advanced industries and services canbe expected by using big data analysis technology in fitness sports in the future, and technical and clinicalverification should be actively conducted academically.
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KEYWORD
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Big data, Digital healthcare, Fitness, Sports science, Special Physical Education
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