Virtual Mouse Using Hand Gestures

This project implements a virtual mouse system that uses hand gestures detected by a webcam. The system allows for mouse control and clicks through specific hand gestures, providing a touch-free way to interact with your computer. It leverages the opencv-python, mediapipe, pyautogui, and time libraries for hand detection and interaction.

Features

• Hand Gesture Detection: Uses a webcam to detect hand gestures in real-time.
• Left Click: Performed by bringing the thumb and index fingers together.
• Right Click: Performed by bringing the thumb and middle fingers together.
• Mouse Movement: Controlled by moving the hand.

Requirements

• Python 3.x
• OpenCV (opencv-python)
• MediaPipe (mediapipe)
• PyAutoGUI (pyautogui)
• Time (standard library)

Installation

1. Clone this repository:

   git clone https://github.com/SARFAS-P/Virtual_Mouse.git

2. Install the required dependencies:

   pip install opencv-python mediapipe pyautogui

3. open in VSCODE

Usage

Run the script to start the virtual mouse system:

How It Works

• The webcam captures video footage of the user's hand.
• The system uses MediaPipe to detect hand landmarks.
• Depending on the detected hand gesture:
  • Mouse movement is controlled by the hand's position.
  • Left click is performed by bringing the thumb and index fingers together.
  • Right click is performed by bringing the thumb and middle fingers together.
• PyAutoGUI is used to simulate mouse movements and clicks based on the detected gestures.

Contributing

• Feel free to fork this repository and submit pull requests. For major changes, please open an issue first to discuss what you would like to change.