Triboelectric Smart Mats for Real-time Position Detection System

초록

This paper proposes smart mats for real-time position detection systems using triboelectric nanogenerators (TENGs). TENGs convert mechanical energy from human activities, such as walking, into electrical energy without external power. The system detects footstep movements and generates signals to monitor patterns and distinguish pedestrian types. By interdigitated electrode (IDE) structures, the system reduces wiring complexity and enhances scalability, making it ideal for smart city infrastructure. The TENG-based sensors are low-cost, reliable, and easily maintained, adaptable to various surfaces, and applicable in public spaces, transportation hubs, and urban environments. This system has the potential to improve sustainable energy efficiency and crowd management.

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