This paper presents a smart floor monitoring system integrating self-powered triboelectric floor mats and deep learning-based data analytics. The low-cost, scalable mats use unique electrode patterns for parallel connection, simplifying system complexity and reducing computational cost. The system analyzes sensory data to determine stepping position, activity status, and user identity, enabling applications in smart buildings and homes for intelligent automation, healthcare, and security.
