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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66356
Volume:
10 |
7 |
Jul 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of studies in Computer Science (M.Sc.)
Davangere University
Department of studies in Computer Science (M.Sc.)
Davangere University
The rapid growth of IoT devices and wearable electronics has increased the demand for sustainable energy sources. Traditional batteries suffer from limited lifespan, maintenance requirements, and environmental concerns. Human kinetic energy harvesting offers an alternative approach by converting energy generated during walking into usable electrical energy.This project proposes a computer vision-based simulation framework that uses pose estimation to analyze human gait and estimate the kinetic energy available during locomotion. The system demonstrates the feasibility of utilizing human motion as a power source for low-power sensor nodes and wearable devices.
KEYWORDS
The proposed Human Kinetic Energy Harvesting System successfully estimates energy generated from human walking using computer vision and pose estimation. It integrates motion detection, gait analysis, and energy calculation into a single software-based framework. The system demonstrates the potential of human movement as a renewable energy source for low-power electronic devices. It provides a cost-effective platform for research, education, and sustainable energy applications. The framework can be further enhanced by integrating real energy harvesting hardware and IoT-based smart systems.
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Publication Date
7/25/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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