Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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Gesture Based Media Control System Using OpenCV and ML

Authors
M. Swathi1, K. Vinay Vamsi1, B. Anshith Murali1, S. Chandra Sekhar1, G. Sandeep1, *
1Department of Information Technology, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India
*Corresponding author. Email: gembalisandeep.22.le.it@anits.edu.in
Corresponding Author
G. Sandeep
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_220How to use a DOI?
Keywords
Gesture Based Media Control System (GMCS); Computer Vision; Machine Learning(ML); OpenCV; MediaPipe; PyAutoGUI; SVM
Abstract

With interaction going online, there is increasing importance placed on con- trol. Basic ways devices can break your flow: Kindergartens and devices such as key- boards and mice. The Gesture Based Media Control System (GMGS) repairs this by means of computer vision and machine learning. It allows hands-free media control. MediaPipe tracks hand movements at real time. It also implies that there is an SVM based classifier that can provide positive feedback for gestures to commands, such as, play, pause, volume control or track navigation. Thus, there is a delay mechanism that blocks actions which are not required and ensures working smooth. PyAutoGUI is used to perform the backend tasks in Python. The expressions of the human gestures are transformed into system commands. With no physical input, media control becomes easy and very useful. It generally automates the tasks and leaves the control to the user. The gain of GMCS is removing hands and touch interaction from using the media apps.

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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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_220How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - M. Swathi
AU  - K. Vinay Vamsi
AU  - B. Anshith Murali
AU  - S. Chandra Sekhar
AU  - G. Sandeep
PY  - 2025
DA  - 2025/11/04
TI  - Gesture Based Media Control System Using OpenCV and ML
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2652
EP  - 2658
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_220
DO  - 10.2991/978-94-6463-858-5_220
ID  - Swathi2025
ER  -