Generic Virtual Mouse

Year : 2025 | Volume : 15 | Issue : 02 | Page : 26-32
    By

    Pooja J. Pawar,

  • Archana S. Banait,

  1. Research Scholar, Department of Computer Engineering, Mumbai Education Trust, Bhujbal Knowledge City, Nashik, Maharashtra, India
  2. Assistant Professor, Department of Computer Engineering, Mumbai Education Trust, Bhujbal Knowledge City, Nashik, Maharashtra, India

Abstract

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The mouse and keyboard have been replaced by new input mechanisms brought about by the quick development of Human-Computer Interaction (HCI). Using computer vision and deep learning techniques, this study explores the possibility of replacing actual mouse inputs in a computer system with hand gestures. We created a virtual mouse system that uses a normal webcam to record hand motions. Computer vision algorithms then process these gestures to handle mouse operations including clicking, scrolling, zooming, and moving the cursor. A range of situations, such as changes in hand size, gesture speed, and ambient lighting, were used to test the system. The system achieves 99% accuracy under ideal conditions, but it dips to 92% under dim or overexposed lighting and at distances longer than 30 cm, according to key findings. Moreover, it is still difficult to recognize intricate actions like scrolling and right-clicking. Future versions will include more training data for gesture refinement, adaptive illumination correction algorithms, and different recognition techniques to address these problems. The technology provides a creative and affordable solution for those with physical limitations in spite of these obstacles, and it holds out hope for future immersive hands-free digital system interaction.

Keywords: Computer vision, deep learning, hand gesture recognition, virtual mouse, human-computer interaction, python

[This article belongs to Current Trends in Signal Processing ]

How to cite this article:
Pooja J. Pawar, Archana S. Banait. Generic Virtual Mouse. Current Trends in Signal Processing. 2025; 15(02):26-32.
How to cite this URL:
Pooja J. Pawar, Archana S. Banait. Generic Virtual Mouse. Current Trends in Signal Processing. 2025; 15(02):26-32. Available from: https://journals.stmjournals.com/ctsp/article=2025/view=0


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Regular Issue Subscription Original Research
Volume 15
Issue 02
Received 19/05/2025
Accepted 24/05/2025
Published 25/06/2025
Publication Time 37 Days
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