Virtual Mouse and Gesture Control

🚀 Overview

The Virtual Mouse and Gesture Control project enables seamless, touch-free interaction with a computer using hand gestures detected by MediaPipe. It simulates a real mouse, allowing users to navigate, click, and control their system with intuitive hand movements.

Additionally, the project expands into gesture-based gaming controls and presentation navigation, providing a hands-free experience for various applications.

🔥 Features

• 🎯 Hand Tracking with MediaPipe: Detects hand landmarks and tracks movements.
• 🖱 Virtual Mouse Control: Move the cursor and perform clicks using hand gestures.
• 🎮 Game Control: Play racing games with W, A, S, D gestures.
• 📊 Gesture-Based Presentation Control: Navigate slides and zoom in/out using gestures.
• 📱 DroidCam Integration: Use a smartphone as an external webcam.
• ⚡ Fast and Lightweight: Efficient implementation using Python and OpenCV.

📂 Project Files

1️⃣ VIRTUAL_MOUSE.py

• Uses MediaPipe for hand tracking.
• Adjusts hand landmarks to screen dimensions.
• Detects finger distances to simulate mouse clicks.
• Cursor dynamically follows the index finger.

2️⃣ gamevirtual.py

• Adapts gesture detection for controlling keyboard inputs.
• Implements W, A, S, D controls for racing games.
• Uses DroidCam for smartphone-based webcam functionality.

3️⃣ Gesturecontrolledslide.py

• Enables gesture-controlled slide navigation.
• Supports actions like zooming and paging during presentations.

🛠 Installation

1. Clone the repository

   git clone https://github.com/Ayush-Aditya/virtual-mouse.git
   cd virtual-mouse

2. Install Dependencies

   pip install -r requirements.txt

3. Run the Virtual Mouse

   python VIRTUAL_MOUSE.py

📌 Requirements

• Python 3.7+
• OpenCV
• MediaPipe
• PyAutoGUI
• NumPy

🎯 Target Audience

This project is ideal for: ✅ Tech Enthusiasts & Developers exploring gesture recognition. ✅ Gamers looking for an immersive hands-free experience. ✅ Presenters & Educators who want smooth slide navigation. ✅ Accessibility Advocates improving human-computer interaction.

💡 Commercial Potential

• 🤖 Human-Computer Interaction: Future of touchless interfaces.
• 🎮 Gaming Industry: Enhancing immersive experiences.
• 🔍 Assistive Technology: Empowering users with disabilities.

👨‍💻 Author

Ayush Aditya
📌 GitHub | 📌 LinkedIn

📜 License

This project is licensed under the MIT License. Feel free to use and enhance it!

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