Hand Gesture Recognition System for Mouse Control

This paper presents a novel web-based application that enables intuitive, touch-free control of a computer’s mouse cursor using real-time hand gesture recognition via a standard webcam. Leveraging computer vision and gesture recognition techniques, the proposed system translates specific hand gestures into mouse actions, such as cursor movement, clicks, and freezing, providing an accessible and hygienic alternative to traditional input devices. The application is developed in Python and features a modular architecture, with dedicated components for gesture detection, mouse control, and user management. The platform includes two primary modules: an Admin module for secure user and content management, and a User module for registration, login, and interactive gesture-based mouse control. Experimental results demonstrate the system’s responsiveness and accuracy in diverse environments, highlighting its potential to enhance accessibility for individuals with mobility challenges and to reduce physical contact in shared or public computing scenarios. This work showcases the integration of modern computer vision into web applications, paving the way for more natural and inclusive human-computer interaction.