Gesture Sense: Controlling Computer System Using Hand and Eye Gesture

Human–computer interaction has significantly improved with advancements in computer vision and AI. This paper presents an adaptive gesture-based control system for both physically challenged and general users. It operates in two modes: eye-controlled for users with limited mobility and hand gesture-based for standard users. Using a webcam, the system captures facial landmarks and hand movements to perform real-time actions like cursor control, keyboard input, app switching, brightness, and volume control. The proposed system provides an efficient, low-cost, and accessible alternative to traditional input devices.