Shape Adaptability Cellulosic Triboelectric Materials Enabled by Hydrosetting

Abstract Selfpowered wearable sensors are demonstrating critical application value in intelligent terminals across fields such as sports science and healthcare. However, the geometric mismatch between devices and human tissues continues to pose a formidable challenge to achieving optimal performance and functionality in wearable devices. Inspired by the hydroplastic behavior of unlignified vascular bundles in Dracaena sanderiana Mast, a hydroplastic triboelectric material with a wetting‐constrained network is constructed via localized acylation combined with MXene embedding. This material achieves shape‐adaptive molding on complex curved surfaces within 12 min, attributed to the hydrogen bond reconstruction between polymer chains and MXene within the hydrophobic network constraints. Concurrently, its capacity for dynamic adjustment to varying curved surface geometries effectively mitigates interfacial gaps that may arise between the initially assembled sensor and tissues due to wear or regeneration. In addition, the material exhibits excellent contact electrification and sensing performance, delivering an output voltage of 120 V with a contact area of only 4 cm 2 , and a signal response and recovery time of merely 37 ms. Integration with wireless sensing and machine learning modules enables the wireless transmission and accurate recognition of boxing signals, holding promise for technological support in areas such as training assistance and sport‐kinetics optimization.