Machine learning-assisted triboelectric nanogenerator technology for intelligent sports.

ABSTRACT: The rapid development of internet of things, big data, and artificial intelligence is propelling sports science into a data-driven era, demanding real-time, multidimensional athletic performance monitoring. Triboelectric nanogenerators (TENGs) have demonstrated exceptional potential in intelligent sports. However, the complexity and volume of TENG-generated data pose challenges for manual analysis. Machine learning (ML), with strengths in pattern recognition and adaptive processing, provides a powerful solution to enhance TENG-based sensing signal interpretation. This review systematically explores the integration of ML and TENG technology for intelligent sports. First, the fundamental theory and basic knowledge of TENGs are introduced, highlighting their versatility in sports sensing syst

SUBMITTER: Ji M 

PROVIDER: S-EPMC12487898 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature