HAND GESTURE CONTROLLED VIRTUAL MOUSE USING OPENCV,MEDIAPIPE IN PYTHON

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HAND GESTURE CONTROLLED VIRTUAL MOUSE USING OPENCV,MEDIAPIPE IN PYTHON

Author: Thirugnanaskandhan S, Jashwanth R, Jayavarshan S, Chandru M

Published On: 2024-11-25

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Abstract

Hand gesture recognition offers a natural, touchless method for controlling digital devices, enhancing accessibility and user experience. This project implements a virtual mouse using Python, OpenCV, and MediaPipe to track hand movements through a live video feed, enabling real-time actions like movement, clicks, and screenshots. Leveraging MediaPipe's pre-trained hand landmark models, the system ensures accurate gesture detection, providing responsive, hands-free interaction for users with limited mobility or in touch-restricted environments. With applications in virtual and augmented reality, gaming, and remote control, this project highlights the potential of computer vision and machine learning to deliver efficient, non-invasive human-computer interfaces.

Key Words: Hand Gesture Control, Virtual Mouse, OpenCV, MediaPipe, Python.

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