Mouse Cursor Control Using Hand Gestures

Abstract

Abstract - The traditional mouse and keyboard interface, while effective, can limit interaction in certain environments where touchless control is preferable or necessary. This project presents a novel approach to controlling a computer mouse cursor using hand gestures, leveraging computer vision and real-time image processing. The system uses a standard webcam to capture hand movements, which are then interpreted using OpenCV and Python-based image processing techniques. By detecting and tracking specific hand gestures, the system can move the cursor, perform clicks, and execute other common mouse functions without any physical contact. · Key Words: Hand Gesture Recognition, Computer Vision, Human-Computer Interaction (HCI), Cursor Control, OpenCV, Python