Authors: Assistant Professor Shaik Shireenbanu, Y.Vasudha
Abstract: The increasing usage of computer vision technologies, which allow for touchless interaction between humans and computer systems, has drastically altered human–computer interaction (HCI). Because they require additional equipment and physical engagement, conventional mouse devices may be less useful in settings where hands-free operation is preferred. This work proposes a vision-based virtual mouse system that uses real-time hand gestures recorded by a conventional camera to enable users to perform standard mouse tasks. The suggested system uses computer vision techniques to watch and identify hand movements and associates specific gestures with scrolling, double-clicking, left-clicking, and right-clicking. Users can interact with the operating system without a physical mouse by identifying motion patterns in video frames captured by the camera. The technology offers dependable gesture recognition and fast cursor control, and experimental testing shows that it works well with straightforward backgrounds and appropriate lighting. Presentations, smart classrooms, medical settings, assistive technology, and touchless computing systems could all benefit from the suggested approach, which provides a low-cost, device-free substitute for desktop interaction. Additionally, the study outlines future improvements to increase robustness and real-time performance while discussing the limitations of vision-based interaction in difficult environmental scenarios.
