TENG-Boosted Smart Sports with Energy Autonomy and Digital Intelligence

IF 26.6 1区材料科学 Q1 Engineering

Nano-Micro Letters Pub Date : 2025-05-21 DOI:10.1007/s40820-025-01778-1

Yunlu Wang, Zihao Gao, Wei Wu, Yao Xiong, Jianjun Luo, Qijun Sun, Yupeng Mao, Zhong Lin Wang

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引用次数: 0

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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以能源自主和数字智能推动的智能体育

科技进步深刻地改变了体育领域，将其带入了数字时代。在智能体育中利用大数据的服务——包括性能分析、训练统计评估和指标——已经变得不可或缺。这些工具在帮助运动员制定日常训练计划和制定复杂的比赛策略方面至关重要，在追求胜利的过程中至关重要。尽管具有潜力，但用于运动监测的可穿戴电子设备受到一些限制，包括高昂的成本、大量的能源使用、与单个空间结构不兼容以及有缺陷的数据分析方法。摩擦电纳米发电机（TENGs）在自供电设备/系统的发展中发挥了重要作用，因为它们具有利用环境中的高熵能的卓越能力。本文从生理数据监测、运动训练表现、项目裁判辅助、运动损伤预防与康复等方面综述了基于腾能的智能运动的进展和新兴趋势。排除运动心理因素的潜在影响，本综述详细论述了当前的挑战和前景，促进智能体育与能源自主和数字智能。这项研究提出了创新的见解和动机，推动智能体育朝着人类更可持续、更高效的未来发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nano-Micro Letters NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY

CiteScore

32.60

自引率

4.90%

发文量

981

审稿时长

1.1 months

期刊介绍： Nano-Micro Letters is a peer-reviewed, international, interdisciplinary, and open-access journal published under the SpringerOpen brand. Nano-Micro Letters focuses on the science, experiments, engineering, technologies, and applications of nano- or microscale structures and systems in various fields such as physics, chemistry, biology, material science, and pharmacy.It also explores the expanding interfaces between these fields. Nano-Micro Letters particularly emphasizes the bottom-up approach in the length scale from nano to micro. This approach is crucial for achieving industrial applications in nanotechnology, as it involves the assembly, modification, and control of nanostructures on a microscale.