Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{196432,
        author = {Rohan Yogesh Patil and Rugved Pramod Ranjanikar and Likhit Pankaj Rathi and Ravish Kumar and Ridhiman Singh},
        title = {Next-Generation Hybrid Smart Energy Harvesting Floor Tile with Adaptive Force Sensing, AI-Based Occupancy Analytics, and Smart Building Integration},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4261-4263},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196432},
        abstract = {This paper presents a next-generation hybrid smart energy harvesting floor tile integrating piezoelectric, triboelectric, and electromagnetic mechanisms with AI-driven adaptive force sensing, occupancy analytics, and smart building integration. The system maximizes energy conversion from human footsteps, predicts occupancy patterns, and enables smart automation of lighting and HVAC systems. Using assumed simulations based on realistic human footstep loads, the hybrid mechanism achieves a maximum energy conversion efficiency of 35%, outperforming conventional single-mode systems. Additional interactive features and IoT-enabled connectivity are discussed, with scalability for large commercial spaces.},
        keywords = {Hybrid energy harvesting, piezoelectric, triboelectric, electromagnetic, adaptive force sensing, AI, smart buildings, IoT, energy management.},
        month = {April},
        }