Virtual Mouse Control Using Hand Gestures

A computer vision-based system that allows users to control their mouse cursor using hand gestures. This project uses MediaPipe for hand tracking and implements various mouse control gestures.

🛠️ Technologies Used

• Python 3.x
• OpenCV (cv2): For video capture and image processing
• MediaPipe: For hand landmark detection and tracking
• PyAutoGUI: For mouse control and system interactions
• NumPy: For numerical operations and calculations

🔧 Installation

1. Clone the repository: bash : git clone https://github.com/deepak-dobbala/Hand_Gesture_Recognition

2. Install required packages:bash : pip install opencv-python mediapipe pyautogui numpy

✨ Features

Mouse Control

• Real-time hand tracking
• Smooth cursor movement using palm center
• Exponential smoothing for stable cursor control
• Multiple gesture recognition

Supported Gestures

1. Cursor Movement

   • Tracks palm center for precise cursor control
   • Continuous movement tracking
   • Smoothing algorithm for stability

2. Left Click

   • Trigger: Thumb tip touches index finger's middle joint
   • Visual feedback: Blue dots show contact points

3. Right Click

   • Trigger: Index fingertip touches middle fingertip
   • Visual feedback: Green dots show contact points

4. Scrolling

   • Requires: Three main fingers open (thumb, index, middle)
   • Scroll Up: Thumb-index pinch
   • Scroll Down: Index-middle pinch
   • Other fingers must be closed

5. Zooming

   • Trigger: Only thumb and pinky fingers extended
   • Zoom In: Increase distance between thumb and pinky
   • Zoom Out: Decrease distance between thumb and pinky
   • Visual feedback: Yellow line shows zoom distance

6. Terminate Program

   • Requires: Three main fingers open
   • Trigger: Thumb tip touches middle fingertip
   • Safely closes the application

🎯 Performance Features

• 60 FPS camera capture
• Optimized resolution (640x480)
• Real-time FPS display
• Single hand tracking for better performance
• Gesture priority system
• Smoothing algorithms for stable control

🚀 Usage

1. Run the main script: bash:Readme.md python src/main.py

2. Position your hand in front of the camera

3. Use the gestures described above to control your mouse

4. To exit, either:

   • Use the terminate gesture
   • Press 'q' on keyboard

📝 Notes

• Ensure good lighting conditions
• Keep hand within camera frame
• Maintain appropriate distance from camera
• Allow time to familiarize with gestures
• Adjust gesture thresholds if needed

⚙️ Configuration

Key parameters can be adjusted in the code:

• Gesture detection thresholds
• Smoothing factors
• Scroll sensitivity
• Zoom sensitivity
• Click delay timings

🤝 Contributing

Feel free to fork, submit PRs, or report issues. All contributions are welcome!

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.