面向运动训练的柔性力学传感器:进展与瓶颈

Flexible mechanical sensors for sports training: progress and bottleneck

  • 摘要: 柔性可穿戴力学传感器在运动训练监测领域应用前景广阔,但灵敏度与检测范围的权衡、信号稳定性及运动伪影干扰等问题仍制约其实际应用。本文立足于运动训练的实际需求,系统综述了柔性传感器的技术研究进展,重点探讨了大变形下的动态响应、耐汗湿与佩戴舒适性、实时反馈与系统集成三个关键维度。详细剖析了液态金属、岛桥结构、微裂纹调控及离子-电子协同传输等典型策略,并指出当前研究在动作质量评判、个体差异校准及模型可解释性方面存在的不足。在此基础上,本文构建了传感器性能评价框架,明确了耐汗湿与透气性、高频冲击下的动态信号稳定性以及从数据到决策的转化这三大核心瓶颈。最后,展望了多物理场协同调控、信号解耦与智能算法融合、自供能系统集成及长期生物相容性等未来发展方向,旨在为面向运动训练的高性能柔性传感器设计提供理论参考。

     

    Abstract: Flexible wearable mechanical sensors hold broad application prospects in sports training monitoring. However, trade-offs between sensitivity and detection range, as well as issues regarding signal stability and motion artifact interference, continue to restrict their practical application. Addressing the actual needs of sports training, this paper systematically reviews research progress in flexible sensors, focusing on three key dimensions: dynamic response under large deformation, sweat resistance and wearing comfort, and real-time feedback with system integration. Typical strategies, including liquid metal utilization, island-bridge structures, microcrack control, and ion-electron cooperative transmission, are analyzed in detail. Furthermore, shortcomings in current research concerning action quality evaluation, individual difference calibration, and model interpretability are identified. On this basis, this paper constructs a sensor performance evaluation framework and clarifies three core bottlenecks: sweat resistance and permeability, dynamic signal stability under high-frequency impact, and the transformation from data to decision-making. Finally, future development directions are prospected, including multi-physical field cooperative regulation, signal decoupling and intelligent algorithm fusion, self-powered system integration, and long-term biocompatibility, aiming to provide a theoretical reference for the design of high-performance flexible sensors for sports training.

     

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