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This is a Literature Review study.

October 2, 2025Science Advances

Machine learning–assisted triboelectric nanogenerator technology for intelligent sports

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Authors

MJMa JiBeijing Institute of Nanoenergy and Nanosystems ZWZhen WangChinese Academy of Sciences JWJiamin WuGuangzhou University of Chinese Medicine

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Implication

This review explores how machine learning improves triboelectric nanogenerator capabilities in athletic performance analysis, suggesting potential advancements in smart sports technology.

Key Points

Machine learning enhances the analysis of triboelectric nanogenerator data, improving athletic performance monitoring.
Recent advancements in machine learning-assisted triboelectric nanogenerator applications have shown promise in sports health monitoring and training evaluation.
The review discusses the integration of machine learning and triboelectric nanogenerators for real-time sports performance analysis.
Current challenges in data management and processing capabilities of triboelectric nanogenerator systems are highlighted, with future prospects suggested.

Cite This Study

Ji et al. (2025) studied this question.

synapsesocial.com/papers/68de5da283cbc991d0a207ca https://doi.org/10.1126/sciadv.adz3515

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Implication

This review explores how machine learning improves triboelectric nanogenerator capabilities in athletic performance analysis, suggesting potential advancements in smart sports technology.

Machine learning–assisted triboelectric nanogenerator technology for intelligent sports

Discussion

Member takes

Implication

Key Points

Cite This Study

Machine learning–assisted triboelectric nanogenerator technology for intelligent sports

Discussion

Member takes

Implication

Key Points

Cite This Study

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