Key Technologies and Frontline Applications of Intelligent Wearable Devices for Sports

QIAO Yucheng

doi:10.14036/j.cnki.cn11-4513.2025.04.002

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Journal of Capital University of Physical Education and Sports ›› 2025, Vol. 37 ›› Issue (4) : 364-374. DOI: 10.14036/j.cnki.cn11-4513.2025.04.002

Sports Technology Innovation

Key Technologies and Frontline Applications of Intelligent Wearable Devices for Sports

QIAO Yucheng

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Abstract

With the advent of the digital age, the research and application of sports intelligent wearable equipment provides a theoretical and practical reference for the innovation and development of intelligent sports. Employing a methodology of literature review and systematic analysis, the study first focuses on four core technologies: sensing, human-computer interaction, wireless communication & the Internet of Things (IoT), and power supply & energy management. It then explores frontier technological breakthroughs-such as flexible electronics, novel materials, and artificial intelligence-and examines their current applications and potentials in the fields of physical education, competitive training, public health, and athletic rehabilitation.Results: The study finds that:(1) On the technological front, the development focus is on next-generation high-precision miniature sensors, immersive interactive technologies represented by virtual reality, the deep integration of 5G and the IoT, and energy self-sufficiency technologies based on triboelectric nanogenerators (TENGs).(2) In terms of application, these devices are now widely empowering scenarios such as the real-time optimization of athletic performance, personalized health guidance, and remote rehabilitation monitoring.(3) Regarding challenges, its development still faces several key bottlenecks, including the efficient real-time fusion of multi-source heterogeneous data, the balance between battery life and wearing comfort, data security and user privacy protection, and the lack of an industry-wide standards system.Conclusion: Intelligent wearable sports equipment is a key engine driving the development of smart sports; however, its technological ecosystem and breadth of application still require maturation. In the future, breakthroughs are urgently needed in areas such as indigenous innovation in core technologies, interdisciplinary integration, and the establishment of an industry-wide standards system in order to empower the comprehensive and in-depth development of the field.

Key words

intelligent wearable devices / sports monitoring / sensor technology / human-computer interaction / internet of things / smart sports

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QIAO Yucheng. Key Technologies and Frontline Applications of Intelligent Wearable Devices for Sports[J]. Journal of Capital University of Physical Education and Sports. 2025, 37(4): 364-374 https://doi.org/10.14036/j.cnki.cn11-4513.2025.04.002

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https://doi.org/10.11772/j.issn.1001-9081.2018122466

Cited in this article [1] Abstract

针对数据服务器不可信时，直接收集可穿戴设备多维数值型敏感数据有可能存在泄露用户隐私信息的问题，通过引入本地差分隐私模型，提出了一种可穿戴设备数值型敏感数据的个性化隐私保护方案。首先，通过设置隐私预算的阈值区间，用户在区间内设置满足个人隐私需求的隐私预算，同时也满足了个性化本地差分隐私；其次，利用属性安全域将敏感数据进行归一化；最后，利用伯努利分布分组扰动多维数值型敏感数据，并利用属性安全域对扰动结果进行归一化还原。理论分析证明了该算法满足个性化本地差分隐私。实验结果表明该算法的最大相对误差（MRE）明显低于Harmony算法，在保护用户隐私的基础上有效地提高了不可信数据服务器从可穿戴设备收集数据的可用性。

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