High-Performance Triboelectric Nanogenerator Based on PVDF/Cellulose Filter Paper Composites for Internet of Things-Assisted Wireless Sensing and Energy Harvesting

) of up to 230 V. But also owing to its rapid response capability, achieves real-time perception of dynamic mechanical stimuli and precise recognition of subtle movements. Building on this foundation, we have successfully constructed a self-powered sensing system. In this system, the TENG intermittently powers a 4G communication module via a power management circuit, enabling real-time signal acquisition, wireless data transmission, and cloud interaction. Furthermore, by integrating a deep learning-assisted signal processing framework, the system achieves remarkable accuracy in recognizing multiple human actions. This research provides a practical and innovative approach to enhancing the functionality of TENGs in the fields of wearable devices, health monitoring, and human-machine interaction.