Authors : Rishikesh Harad; Nirmal Bhange; Jay Patil; Ajitkumar Khachane

Volume/Issue : Volume 10 - 2025, Issue 4 - April

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DOI : https://doi.org/10.38124/ijisrt/25apr564

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Abstract : The rapid advancement of human-computer interaction has led to the development of innovative technologies that enhance user experience and accessibility. Gesture-Controlled Virtual Mouse is an AI-powered system designed to replace traditional input devices by enabling users to control the cursor using hand gestures. This technology leverages Computer Vision (CV), Machine Learning (ML), and Hand Tracking Algorithms to interpret gestures, allowing seamless navigation and interaction with digital interfaces. One of the key features of the Gesture-Controlled Virtual Mouse is its ability to perform essential mouse functions such as clicking, scrolling, and dragging without physical contact. The system detects hand movements in real time, ensuring high accuracy and responsiveness. Additionally, it enhances accessibility by offering an alternative input method for individuals with mobility impairments. For users, this technology provides an intuitive and touch-free computing experience, reducing dependence on traditional peripherals like a mouse or trackpad. It is particularly beneficial in scenarios requiring hands-free operation, such as gaming, presentations, and medical environments. The Gesture-Controlled Virtual Mouse streamlines interaction, improves efficiency, and represents a step forward in touchless computing solutions. Whether a candidate is a tech enthusiast or an experienced developer, Gesture-Controlled Virtual Mouse enhances human-computer interaction by providing a seamless, touch-free experience. Utilizing advanced computer vision and machine learning, it enables intuitive cursor control, bridging the gap between physical gestures and digital navigation.

Keywords : Gesture Recognition, Computer Vision, Machine Learning, Virtual Mouse, Human-Computer Interaction.

References :

1. Wu, H., Cai, X., Ma, J. and Zhang, X.,       2022, September. Towards Natural Virtual    Mouse with mm-Wave
2. Radar. In 2022 19th European Radar Conference (EuRAD) (pp. 45-48), IEEE.
3. Joy Guha, Shreya Kumari, Prof. Shiv Kumar Verma, “AI Virtual Mouse Using Hand Gesture Recognition”,
4. Key Comparisons:
5. (IRJMETS Paper) – Focuses on developing a gesture-based interaction system for controlling a virtual mouse, utilizing computer vision and hand-tracking techniques.
6. (IEEE Paper) – Emphasizes deep learning-based hand gesture recognition for human-computer interaction, improving accuracy and robustness in virtual mouseapplications.
7. (Medium Article) – A practical, hands-on guide aimed at developers for building a simple gesture-controlled mouse using OpenCV, MediaPipe, and Python.
8. (IJCSPUB Paper) – Extends gesture-controlled interfaces with AI-based enhancements, including predictive gesture recognition and adaptive cursor control for improved usability.