EVA-SrBi2Nb2O9 composites for energy harvesting and AI-integrated finger strength monitoring

Abstract

Triboelectric nanogenerators (TENG) offer an effective approach for converting ambient mechanical energy into electrical power. In this study, a TENG incorporating a composite film composed of Ethylene-vinyl acetate-SrBi2Nb2O9 (EVA-SBN) is designed and evaluated. The SBN material is synthesised via a solid-state method. When the EVA-SBN 5 wt% triboelectric layer is coupled with PDMS as the counter triboelectric material, the device delivers an output voltage of 154 V, a current of around 334 nA, and a maximum power of 102 mu W. Further, in this work, the demonstration of powering a calculator using TENG was performed. The response of finger impact upon the EVA-SBN/PDMS-based TENG was traced, and using artifical neural network (ANN) based prediction of individual finger strength enables accurate, real-time hand motion recognition for applications in smart rehabilitation, prosthetics, and human-machine interfaces.