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-SrBi 2Nb 2O 9(EVA-SBN) is designed and evaluated. The SBN material is synthesised via a solid-statemethod. 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 μW. Further, in this work, the demonstration of powering a calculator 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.