Footstep Power Generation System

DOI

10.2991/978-94-6463-948-3_2How to use a DOI?

Keywords

Arduino microcontroller; Bridge rectifier; Lithium-ion bat- tery; Piezoelectric sensor; Power

Abstract

Footstep energy harvesting obtains energy from walking hu- mans and transforms it into electricity through mechanisms like piezo- electric materials or electromechanical systems. Footstep power genera- tion technology can be applied in high-traffic areas like train stations, airports, and shopping centers to power small devices like sensors, LED light bulbs, and communication devices in smart cities, creating a prac- tical way to combine sustainability with everyday movements. Its major benefit is that it is able to give a clean, renewable form of energy by harnessing the pressure from human footsteps, decreasing the use of fos- sil fuels while also promoting an eco-friendly mindset in modern urban cities. Although the concept is promising, there are a few drawbacks to its ability, such as low energy conversion efficiency, low power out- put, and the durability of the piezoelectric material over the long term, which can affect overall system reliability. Installing these systems with- out main infrastructure disruption is also complex and often requires careful engineering planning to avoid affecting public use areas. Still, with further improvement in material technology, energy storage, and systems design, power generation from footsteps can become part of a larger strategic plan for using more renewable forms of energy, contribut- ing to clean cities, and helping towards the establishment of decentralized energy grid systems in cities that were traditionally difficult to access, making this system highly relevant for future smart-city development.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Vidula Meshram
AU  - Neeraj Shetye
AU  - Vignesh Shetty
AU  - Sharad Shinde
AU  - Shubham Shintre
AU  - Atharva Shirke
AU  - Harshali Shirsath
PY  - 2026
DA  - 2026/01/06
TI  - Footstep Power Generation System
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 4
EP  - 15
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_2
DO  - 10.2991/978-94-6463-948-3_2
ID  - Meshram2026
ER  -