Gesture Control Mouse

Human computer interaction has evolved toward more intuitive modes of communication.
Among these, gestures represent one of the most natural and expressive forms of human
interaction. However, vision-based hand gesture recognition remains a challenging task due to
the complexity and high degree of freedom in human hand movements.
This project presents a Gesture Control Mouse system that enables users to interact with a
computer using hand gestures captured through a webcam, eliminating the need for a traditional
mouse. The proposed system employs a skin detection algorithm to segment hand regions from
the background, followed by contour and convex hull algorithms to identify hand boundaries
and detect fingertips. These detected gestures are then mapped to mouse cursor movements and
button actions.
Experimental results demonstrate that the system performs effectively in real time, allowing
users to navigate and control computer interfaces seamlessly using natural gestures. The
implementation showcases the potential of vision-based HCI systems in promoting touchless
interaction, offering a cost-effective, hygienic, and accessible alternative to physical input
devices.