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Hand Gesture-Based Mouse Control System Using OpenCV and Media Pipe for Real-Time Interaction
Subject area: Science,Engineering and Technology · Area of research: Computer Vision
Abstract
The study presents a gesture-based interaction system designed for real-time mouse control using OpenCV and Mediapipe. This system uses hand gestures to provide an intuitive and contactless way to interact with computers, significantly enhancing user experience and accessibility for persons who struggle with conventional input devices like a mouse or keyboard. Utilizing a single webcam, the system continuously captures and monitors hand movements. These movements are handled through pattern recognition algorithms to accurately recognize specific gestures, with each recognized gesture corresponding to various computer actions, including mouse movement, clicks, and scrolling. The system is engineered for user-friendliness and efficiency, allowing users to navigate their computer screens effortlessly without physical contact. Results from the study highlight the practicality and effectiveness of employing hand gestures for basic computer control tasks, presenting a promising approach for hands-free interaction in both everyday and specialized computing scenarios.
Keywords
Gesture Recognition, OpenCV, Mediapipe, Mouse Control, Human-Computer Interaction.
References
[1] J. Nandwalkar, M. Mandal, A. Khirari, and T. Bhalchim, "Control Mouse using Hand Gesture and Voice," Faculty of Computer Department, Datta Meghe College of Engineering, Airoli, Navi Mumbai, International Journal of Intelligent Systems and Applications in Engineering, ISSN: 2147- 6799.
[2] G. V. Bhole, S. Deshmukh, M. D. Gayakwad, and P. R. Devale, "Implementation of Virtual Mouse Control System Using Hand Gestures for Web Service Discovery," International Research Journal of Modernization in Engineering Technology and Science, vol. 06, no. 01, January 2024.
[3] D. D. Meshram, P. Dighore, A. Hedaoo, K. Dhoble, and K. Paunikar, "Virtual Mouse Using Hand Gesture," EasyChair preprints, May 13, 2024.
[4] S. Mane, G. Jadhav, V. Sherkar, S. Jadhav, and P. Patil, "Hands-Free Computing Gesture-Based Virtual Mouse and Keyboard," Sinhgad Institute of Technology, Lonavala, Maharashtra, India, International Research Journal of Modernization in Engineering Technology and Science, vol. 06, no. 02, February 2024.
[5] P. Muntode, V. Sonawane, S. Patil, and G. Bhandari, "Virtual Mouse And Keyboard," Jspm’s Bhivrabai Sawant Institute Of Engineering, Pune, Maharashtra, India, International Research Journal of Modernization in Engineering Technology and Science, vol. 06, no. 02, February 2024.
[6] I. Khan, V. Kanchan, S. Bharambe, A. Thada, and R. Patil, "Gesture Controlled Virtual Mouse with Voice Assistant," Terna Engineering College, Nerul, Navi Mumbai, India, International Journal of Multidisciplinary Engineering in Current Research - IJMEC, vol. 9, no. 01, Jan. 2024.
[7] Abhijeet and M. D. Asif, "Deep Learning Based Real Time Ai Virtual Mouse System Using Computer Vision," J.B Institute of Engineering and Technology, 2024.
How to cite this paper
@article{1706805,
author = {Veena Bhat, Panchami B S},
title = {Hand Gesture-Based Mouse Control System Using OpenCV and Media Pipe for Real-Time Interaction},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {8},
number = {6},
pages = {862-867},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1706805.pdf},
abstract = {The study presents a gesture-based interaction system designed for real-time mouse control using OpenCV and Mediapipe. This system uses hand gestures to provide an intuitive and contactless way to interact with computers, significantly enhancing user experience and accessibility for persons who struggle with conventional input devices like a mouse or keyboard. Utilizing a single webcam, the system continuously captures and monitors hand movements. These movements are handled through pattern recognition algorithms to accurately recognize specific gestures, with each recognized gesture corresponding to various computer actions, including mouse movement, clicks, and scrolling. The system is engineered for user-friendliness and efficiency, allowing users to navigate their computer screens effortlessly without physical contact. Results from the study highlight the practicality and effectiveness of employing hand gestures for basic computer control tasks, presenting a promising approach for hands-free interaction in both everyday and specialized computing scenarios.},
keywords = {Gesture Recognition, OpenCV, Mediapipe, Mouse Control, Human-Computer Interaction.},
month = {December},
}