Abstract :

Gesture-based mouse control using computer vision and AI is an innovative human-computer interaction system that allows users to move and interact with a computer cursor through hand gestures without any physical device. The system captures real-time video from a webcam, detects the user’s hand, and uses machine learning algorithms to classify different gestures into corresponding mouse functions. Leveraging tools like OpenCV and MediaPipe, the technology offers a touch-free alternative to conventional input devices, enhancing accessibility and ease of use. This approach reduces dependency on hardware peripherals while providing intuitive navigation through gestures such as pointing, fist, and finger poses. The system operates in real time, providing responsive cursor movement, clicking, scrolling, and dragging functionalities. By applying deep learning and computer vision, gesture control enhances user experience and is particularly useful for accessibility solutions and sterile or