摩擦电效应
材料科学
外骨骼
桥接(联网)
接口(物质)
计算机科学
康复
超弹性材料
耐久性
机械工程
弹性(材料科学)
纳米技术
机械设计
自愈
机械能
微动
纳米发生器
机械系统
紧迫的
可扩展性
建筑
人机交互
柔性电子器件
软质材料
作者
Wei Wang,Yulong Wang,Di Guo,Shidai Tian,Shuhui Wang,Qichang Hu,Aifang Yu,Zhong Lin Wang,Junyi Zhai
摘要
Driven by the rapid evolution of flexible electronics, rehabilitation healthcare is shifting toward devices that seamlessly interface with human body. Yet, existing solutions often simply layer flexible sensor units over rigid components, making it difficult to combine high elasticity, mechanical robustness, and true imperceptibility. Here, we are pioneering a super-tough (∼54.7 MPa) and highly stretchable (>400% strain) triboelectric webbing (T-webbing) that overcomes this long-standing trade-off through the synergistic integration of an embedded textured architecture and functional elastic yarns. The T-webbing supports mass customization, exhibits outstanding electrical durability (>100 000 cycles), and enables reliable self-powered sensing capability with tunable mechanical properties for diverse rehabilitation tasks. In a proof-of-concept demonstration, the T-webbing is seamlessly integrated into a machine-learning-enabled lower-limb rehabilitation platform, achieving a motion recognition accuracy of 97.9% while enabling seamless one-click data sharing, intuitive human-machine interaction, and real-time remote guidance. By bridging high mechanical resilience with imperceptible wearability, our study offers a brand-new solution for data-driven, high-compliance, home-based rehabilitation within the Internet-of-Things ecosystem-addressing a pressing clinical need for scalable, patient-friendly solutions.
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