EconPapers    
Economics at your fingertips  
 

Controlling Media Player using Hand Gestures

T Santosh, P. Ashwini and K. Nandini

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 2, 645-649

Abstract: Gesture-based real-time gesture recognition systems received great attention in recent years because of their ability to interact with systems efficiently through human-computer interaction. Human-Computer Interaction can gain several advantages with the establishment of different natural forms of device-free communication. Gestures are a natural form of action that we often use in our daily lives to interact, so to use them as a way of communicating with computers generates a new paradigm of computing interaction. This project implements computer vision and gesture recognition techniques and develops a vision based low-cost input software for controlling the media player through gestures.

Keywords: Machine learning; OpenCV; Pycaw; Mediapipe; VLC Media Player; gesture; Human-Computer Interface; Webcam (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2390293
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/CSEIT2390293 Article URL (text/html)
https://ijsrcseit.com/paper/CSEIT2390293.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v9:y2023:i2:id:hcseit2390293

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().

 
Page updated 2026-09-18
Handle: RePEc:jbh:ijsrcs:v9:y2023:i2:id:hcseit2390293