Authors: Dr.P.Guhan, Mr.C.Barath
Abstract: Gesture-controlled computers and laptops have recently become increasingly popular, with Leap Motion technology leading this innovation. This technique enables users to control certain system functions simply by moving their hands in front of a camera. Compared to traditional slides or overhead projectors, computer-based presentations offer greater interactivity through audio, video, and programmable elements, though they can be more complex to use. As technology continues to evolve, finding new and affordable ways to interact with computers has become essential, especially since touchscreens are not feasible for all applications. To address this, a virtual mouse system based on object tracking and hand gestures is proposed as an alternative to physical mice and touch interfaces. The system employs computer vision techniques using Python and OpenCV, with a webcam detecting hand movements through HSV color segmentation. Users can wear colored caps or tapes on their fingers to move the cursor and perform actions like left-click, right-click, and double-click. The camera feed is processed in real time and displayed on the screen, allowing smooth, contactless interaction.
