Published Paper Details:

This Human Computer Interaction (HCI) has become one of the important projects in this new era and technology. In today's digital age, the interaction between humans and computers continues to evolve beyond traditional input devices like keyboards and mice. This project proposes a novel approach to computer interaction through hand gestures, specifically aiming to control the cursor on a screen without physical contact with any device. The system utilizes computer vision techniques, primarily leveraging a webcam to capture and interpret hand movements in real-time. Key components of the system include hand detection, gesture recognition, and cursor control algorithms. Hand detection identifies the presence and position of hands within the camera's field of view. Gesture recognition algorithms then classify specific hand gestures, translating them into commands such as moving the cursor in different directions, clicking, or scrolling. These gestures are predefined and mapped to corresponding actions in the graphical user interface (GUI).The project's implementation involves using Python and libraries like OpenCV for computer vision tasks, ensuring compatibility across different operating systems. The system's performance is evaluated based on accuracy in gesture recognition, real-time responsiveness, and user experience in controlling the cursor solely through hand gestures.