Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66356

KINETIC ENERGY HARVESTING APPAREL FOR SUSTAINABLE DEVELOPMENT IN HILLY AND COASTAL REGIONS

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66356

Volume:

10 |

7 |

Jul 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66356

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.

Share this article:

Authors

NBL

NAYANA B L

Department of studies in Computer Science (M.Sc.)

Davangere University

Download Author Certificate
AR

Akshatha Reddy

Department of studies in Computer Science (M.Sc.)

Davangere University

Download Co-Author Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

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

Kinetic Energy Computer Vision Pose Estimation MediaPipe Pose Human Gait Analysis Wearable Energy Harvesting Internet of Things (IoT) Sustainable Energy Artificial Intelligence (AI) Low-Power Sensor Networks.

Cite This Article

NAYANA B L, Akshatha Reddy, "KINETIC ENERGY HARVESTING APPAREL FOR SUSTAINABLE DEVELOPMENT IN HILLY AND COASTAL REGIONS," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 7, pp. 1-6, Jul 2026. https://doi.org/10.55041/IJSREM66356

Full Article/Conclusion

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.

References

[1]. J. To and L. Huang, “Experimental Study on Human Kinetic Energy Harvesting with Wearable Lifejackets to Assist Search and Rescue,” Electronics, vol. 13, no. 20, p. 4059, Oct. 2024. DOI: 10.3390/electronics13204059. (MDPI) [2]. Y. Shi, Y. Wang, and X. Zhang, “Kinetic Walking Energy Harvester Design for a Wearable Soft Exoskeleton Robot,” Sensors, vol. 22, no. 8, pp. 1–20, 2022. (PMC) [3]. M. Magno, S. Marinkovic, D. Brunelli, and E. Popovici, “Kinetic Energy Harvesting: Toward Autonomous Wearable Sensing,” IEEE Internet of Things Journal, vol. 4, no. 3, pp. 722–729, 2017. (cris.unibo.it) [4]. Q. Ju, H. Li, and Y. Zhang, “Power Management for Kinetic Energy Harvesting IoT,” IEEE Sensors Journal, vol. 18, no. 15, pp. 1–12, 2018. DOI: 10.1109/JSEN.2018.2820644. (ResearchGate) [5]. O. Kröning and M. Kupke, “Requirements and Potentials of Human Kinetic Energy Harvesting,” in Proc. International Workshop on Kinetic Energy Harvesting, Ilmenau, Germany, 2017, pp. 1–8. (db-thueringen.de) [6]. Y. Chen, Y. Tian, and M. He, “Monocular Human Pose Estimation: A Survey of Deep Learning-Based Methods,” IEEE Access, vol. 8, pp. 101575–101595, 2020. (arXiv) [7]. Y. Desmarais, D. Mottet, P. Slangen, and P. Montesinos, “A Review of 3D Human Pose Estimation Algorithms for Markerless Motion Capture,” Computer Vision and Image Understanding, vol. 212, pp. 103275, 2021. (arXiv) [8]. R. Josyula and S. Ostadabbas, “A Review on Human Pose Estimation,” Journal of Visual Communication and Image Representation, vol. 80, pp. 103–118, 2021. (arXiv) [9]. C. Zheng, S. Zhu, M. Mendieta, T. Yang, C. Chen, and Z. Ding, “3D Human Pose Estimation with Spatial and Temporal Transformers,” in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2021, pp. 11656–11665. (arXiv) [10].        D. Ma, W. Xu, G. Lan, and W. Hu, “CapSense: Capacitor-Based Activity Sensing for Kinetic Energy Harvesting Powered Wearable Devices,” in Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2017, pp. 103–114. (ResearchGate)  

Editorial & Review Transparency

Publication Date

7/25/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

9

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...