Research on sports science and health: opportunities, challenges and development paths driven by emerging technologies

Tang Peifu

doi:10.3969/j.issn.2097-5457.2024.12.011

PDF(1242 KB)

Research on Sports Science and Health ›› 2025, Vol. 1 ›› Issue (1) : 1-6. DOI: 10.3969/j.issn.2097-5457.2024.12.011

Feature Article

Research on sports science and health: opportunities, challenges and development paths driven by emerging technologies

Tang Peifu

Author information +

History +

Abstract

The research on sports science and health is facing unprecedented challenges and opportunities in the wave of new technologies. Emerging technologies such as wearable devices and artificial intelligence offer the possibility to accurately monitor exercise data, provide personalized plans, and contribute to disease prevention and rehabilitation. However, issues such as data privacy protection, technical reliability and high costs urgently need to be overcome. In terms of the development path, interdisciplinary integration is required to promote the combination of theory and practice, a standardized data management system should be established to ensure information security, and the popularization of technologies should be promoted to expand the scope of application, so that emerging technologies can give full play to their effectiveness in this field and promote the research on sports science and health to a new height.

Key words

National health / Sports science / Wearable devices / Artificial intelligence / Rehabilitation

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Tang Peifu. Research on sports science and health: opportunities, challenges and development paths driven by emerging technologies[J]. Research on Sports Science and Health, 2025, 1(1): 1-6 https://doi.org/10.3969/j.issn.2097-5457.2024.12.011

References

[1] 王君平. 运动健身离不开科学“处方”[J]. 发明与创新(大科技), 2021, (8): 46.
[2] 卢旭蕊, 王兆红. 全民健身战略促进国民幸福平等的实证检验[C]//中国体育科学学会. 第十三届全国体育科学大会论文摘要集——专题报告(体育社会科学分会). 北京师范大学, 2023: 2.
[3] LEE K E, CHOI M, JEOUNG B.Effectiveness of rehabilitation exercise in improving physical function of stroke patients: a systematic review[J]. Int J Environ Res Public Health. 2022, 19(19): 12739.
[4] BRINLEE A W, DICKENSON S B, Hunter-Giordano A, et al.ACL reconstruction rehabilitation: Clinical data, biologic healing, and criterion-based milestones to inform a return-to-sport guideline[J]. Sports Health, 2022, 14(5): 770-779.
[5] 樊涛, 陈欢, 郑彭, 等. 新形势下假肢矫形工程专业建设和教学改革探索[J]. 中国康复, 2023, 38(7): 446-448.
[6] Michael S W, Siddall A G, O’ Leary T J, et al. Monitoring work and training load in military settings -what’ s in the toolbox?[J] Eur J Sport Sci, 2022, 22(1): 58-71.
[7] 刘昕怡, 李佳航, 陈丹阳, 等. 军事训练疲劳评估与恢复专家共识计划书(2024年版)[J]. 解放军医学院学报, 2024, 45(7): 714-717.
[8] 张治华. 国际军事体育科研特点与发展动态[J]. 军事体育学报, 2016, 35(4): 1-3.
[9] XIONG H, CHEN H, XU L, et al.A survey of data element perspective: application of artificial intelligence in health big data[J]. Front Neurosci, 2022, 16: 1031732.
[10] NAHAVANDI D, ALIZADEHSANI R, KHOSRAVI A, et al.Application of artificial intelligence in wearable devices: opportunities and challenges[J]. Comput Methods Programs Biomed, 2022, 213: 106541.
[11] 徐建光, 王彤, 单春雷, 等. 虚拟现实技术应用于感觉-运动功能康复的专家共识[J]. 中国康复医学杂志, 2024, 39(4): 461-470.
[12] CARDINALE M, VARLEY M C.Wearable training-monitoring technology: applications, challenges, and opportunities[J]. Int J Sports Physiol Perform, 2017, (Suppl 2): 255-262.
[13] CHAE S H, KIM Y, LEE K S, et al.Development and clinical evaluation of a web-based upper limb home rehabilitation system using a smartwatch and machine learning model for chronic stroke survivors: prospective comparative study[J]. JMIR Mhealth Uhealth, 2020, 8(7): e17216.
[14] DEN HARTIGH R J R, MEERHOFF L R A, VAN YPEREN N W, et al. Resilience in sports: a multidisciplinary, dynamic, and personalized perspective[J]. Int Rev Sport Exerc Psychol, 2022, 17(1): 564-586.