可穿戴技术
大数据
计算机科学
可穿戴计算机
数据科学
计算机安全
人机交互
操作系统
嵌入式系统
作者
Yunlu Wang,Zihao Gao,Wei Wu,Yao Xiong,Jianjun Luo,Qijun Sun,Yupeng Mao,Zhong Lin Wang
标识
DOI:10.1007/s40820-025-01778-1
摘要
Abstract Technological advancements have profoundly transformed the sports domain, ushering it into the digital era. Services leveraging big data in intelligent sports—encompassing performance analytics, training statistical evaluations and metrics—have become indispensable. These tools are vital in aiding athletes with their daily training regimens and in devising sophisticated competition strategies, proving crucial in the pursuit of victory. Despite their potential, wearable electronic devices used for motion monitoring are subject to several limitations, including prohibitive cost, extensive energy usage, incompatibility with individual spatial structures, and flawed data analysis methodologies. Triboelectric nanogenerators (TENGs) have become instrumental in the development of self-powered devices/systems owing to their remarkable capacity to harnessing ambient high-entropy energy from the environment. This paper provides a thorough review of the advancements and emerging trends in TENG-based intelligent sports, focusing on physiological data monitoring, sports training performance, event refereeing assistance, and sports injury prevention and rehabilitation. Excluding the potential influence of sports psychological factors, this review provides a detailed discourse on present challenges and prospects for boosting smart sports with energy autonomy and digital intelligence. This study presents innovative insights and motivations for propelling the evolution of intelligent sports toward a more sustainable and efficient future for humanity.
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