Ultra‐Robust and Hyperelastic Triboelectric Webbing for Self‐Powered Rehabilitation Sensing with Invisible and Embedded Design
Abstract
ABSTRACT 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.
Article Details
Authors (9)
Wei Wang
Yulong Wang
State Key Laboratory of High Pressure and Superhard Materials, College of Physics
Di Guo
Shidai Tian
Beijing Key Laboratory of High‐Entropy Energy Materials and Devices Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing P. R. China
Shuhui Wang
Qichang Hu
Fujian Key Laboratory of Agricultural Information Sensoring Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University 1 , Fuzhou, Fujian 350002,
Aifang Yu
Beijing Key Laboratory of High‐Entropy Energy Materials and Devices Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing P. R. China
Zhong Lin Wang
Center for High-Entropy Energy and Systems
Junyi Zhai