HAND GESTURE CONTROLLED VIRTUAL MOUSE SYSTEM

  • Unique Paper ID: 191091
  • Volume: 12
  • Issue: 8
  • PageNo: 5679-5682
  • Abstract:
  • The Virtual Mouse with Hand Gesture is a human-computer interaction solution that enables the operation of mouse functions without the need for physical mouse hardware, through the utilization of hand gestures recorded by a camera. The proposed design utilizes computer vision and machine learning algorithms to identify hand points, interpret gestures, and translate them to mouse functions such as cursor movement, left mouse click, right mouse click, double mouse click, mouse scroll, and drag and drop functions on a real-time basis. Frames of the video are processed to identify significant points on the hand, which are further distinguished through a predetermined model of the gesture recognition algorithm to ensure the accuracy and smooth operation of the proposed design. In the experimental study of the proposed design, the accuracy of 98.6%, precision of 97.9%, and recall of 98.2% were realized, which indicates excellent reliable results of the gesture recogniion process.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{191091,
        author = {Megha Mahajan and LAXMI VITTAL GANGANNAVAR and SHWETA SANJAY DHANAPPAGOL and ABHISHEK ALAGUR},
        title = {HAND GESTURE CONTROLLED VIRTUAL MOUSE SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {5679-5682},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191091},
        abstract = {The Virtual Mouse with Hand Gesture is a human-computer interaction solution that enables the operation of mouse functions without the need for physical mouse hardware, through the utilization of hand gestures recorded by a camera. The proposed design utilizes computer vision and machine learning algorithms to identify hand points, interpret gestures, and translate them to mouse functions such as cursor movement, left mouse click, right mouse click, double mouse click, mouse scroll, and drag and drop functions on a real-time basis. Frames of the video are processed to identify significant points on the hand, which are further distinguished through a predetermined model of the gesture recognition algorithm to ensure the accuracy and smooth operation of the proposed design. In the experimental study of the proposed design, the accuracy of 98.6%, precision of 97.9%, and recall of 98.2% were realized, which indicates excellent reliable results of the gesture recogniion process.},
        keywords = {Virtual Mouse, Hand Gesture Recognition, Human–Computer Interaction, Computer Vision, Machine Learning, Gesture-Based Control, Contactless Interaction, Real-Time Systems, Image Processing, MediaPipe/Hand Tracking (if used), Assistive Technology, Cursor Control, Gesture Classification, Smart Interaction Systems.},
        month = {January},
        }

Cite This Article

Mahajan, M., & GANGANNAVAR, L. V., & DHANAPPAGOL, S. S., & ALAGUR, A. (2026). HAND GESTURE CONTROLLED VIRTUAL MOUSE SYSTEM. International Journal of Innovative Research in Technology (IJIRT), 12(8), 5679–5682.

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