Research on the Application of Wearable Devices in Monitoring Adolescent Physical Fitness Training
DOI:
https://doi.org/10.54691/mmbkh592Keywords:
Wearable devices; adolescents; physical training; training monitoring.Abstract
This study focuses on the application of wearable devices in adolescent physical training monitoring, aiming to address the inherent limitations of traditional monitoring approaches in data collection continuity, feedback immediacy, and evaluation objectivity. Through a systematic analysis of three fundamental principles for applying wearable devices to adolescent physical training monitoring—health and safety assurance, precise data acquisition, and age-appropriate adaptation—this paper proposes a monitoring strategy framework encompassing four dimensions: physiological load tracking, movement technique diagnosis, training behavior recording, and home–school data sharing. The results indicate that wearable devices enable real-time collection and dynamic presentation of basic physiological indicators such as heart rate, step count, exercise distance, and calorie expenditure during training, providing a feasible reference for building a scientific monitoring system for adolescent physical training.
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[1] Lloyd RS, Cronin JB, Faigenbaum AD, Haff GG, Howard R, Kraemer WJ, Micheli LJ, Myer GD, Oliver JL. National Strength and Conditioning Association position statement on long-term athletic development [J]. Journal of Strength and Conditioning Research, 2016, 30(6): 1491-1509.
[2] McKay D, Broderick C, Steinbeck K. The adolescent athlete: a developmental approach to injury risk [J]. Pediatric Exercise Science, 2016, 28(4): 488-500.
[3] Lloyd RS, Oliver JL, Faigenbaum AD, Howard R, De Ste Croix MBA, Williams CA, Best TM, Alvar BA, Micheli LJ, Thomas DP, Hatfield DL, Cronin JB, Myer GD. Long-term athletic development, Part 2: barriers to success and potential solutions [J]. Journal of Strength and Conditioning Research, 2015, 29(5): 1451-1464.
[4] Gurchiek RD, Cheney N, McGinnis RS. Estimating biomechanical time-series with wearable sensors: a systematic review of machine learning techniques [J]. Sensors, 2019, 19(23): 5227.
[5] Dudley C, Johnston R, Jones B, Till K, Westbrook H, Weakley J. Methods of monitoring internal and external loads and their relationships with physical qualities, injury, or illness in adolescent athletes: a systematic review and best-evidence synthesis [J]. Sports Medicine, 2023, 53(8): 1559-1593.
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