Accessibility And Control the System Using Hand Gestures

Abstract: The work demonstrates a touchless Human- Computer Interaction (HCI) solution that allows computer users to interface with their PC via natural, intuitive hand movements. Utilizing machine learning and computer vision technology, the system employs a webcam and the mediaPipe framework for real-time identification and tracking of hand landmarks. By smart gesture recognition and mapping, users can carry out system actions like mouse movement, clicking, scrolling, volume and brightness adjustment, screenshot capture, double click and all without ever having to physically touch an input device. It was implemented in Python and incorporates a number of libraries such as OpenCV, mediapipe and other.