Tork - Gesture Control System

A comprehensive computer vision-based gesture control system that enables wireless interaction with computers and multimedia through hand gestures. Perfect for large studio setups, multiscreen environments, and hands-free computer interaction.

🚀 Features

Hand Tracking & Gesture Recognition

• Real-time hand detection using MediaPipe
• 21-point hand landmark detection for precise gesture recognition
• Multi-hand support (up to 2 hands simultaneously)
• Finger counting and gesture classification

Virtual Mouse Control

• Wireless mouse control using hand gestures
• Click and drag functionality through finger proximity detection
• Scroll control with different finger configurations
• Smooth cursor movement with configurable smoothing

Media Control

• Volume control using thumb and index finger distance
• Brightness adjustment through hand positioning
• Media playback control (play, pause, next, previous)
• Arrow key navigation for presentations

Voice Assistant Integration

• Speech recognition for voice commands
• Text-to-speech responses
• Web browsing and application control
• System control (shutdown, restart, lock)
• Information retrieval (Wikipedia, weather, time)

📁 Project Structure

Tork/
├── HandTracking/           # Core hand tracking modules
│   ├── HandTrackingModuleFull.py    # Main hand detection class
│   ├── VirtualMouse.py              # Virtual mouse implementation
│   ├── mediacontroller.py           # Media control gestures
│   ├── Voice Assistant.py           # Voice assistant integration
│   ├── Brightness Control.py        # Brightness control module
│   └── line_volume.py               # Volume control implementation
├── BodyTracking/           # Body tracking modules (future development)
├── Bin/                    # Binary/executable modules
└── requirements.txt        # Python dependencies

🛠️ Installation

1. Clone the repository

   git clone https://github.com/niteshmandall/Tork.git
   cd Tork

2. Install dependencies

   pip install -r requirements.txt

3. Ensure camera access

   • Make sure your webcam is connected and accessible
   • Grant camera permissions if prompted

🎯 Usage

Basic Hand Tracking

python HandTracking/HandTrackingModuleFull.py

Virtual Mouse Control

python HandTracking/VirtualMouse.py

Gestures:

• Index + Middle finger up: Move mouse cursor
• Fingers close together: Left click
• Ring + Pinky close: Right click and drag
• Thumb + Index close: Volume control
• No fingers: Scroll down
• One finger: Scroll up

Media Control

python HandTracking/mediacontroller.py

Gestures:

• 1 finger: Next track/right arrow
• 2 fingers: Previous track/left arrow
• 3 fingers: Volume up/up arrow
• 4 fingers: Volume down/down arrow
• 5 fingers: Play/pause/space

Voice Assistant

python HandTracking/Voice Assistant.py

Voice Commands:

• "Open YouTube/Google/StackOverflow"
• "Play music"
• "What time is it?"
• "Tell me a joke"
• "Lock window"
• "Shutdown system"

Brightness Control

python HandTracking/Brightness Control.py

• Use thumb and index finger distance to control screen brightness

Volume Control

python HandTracking/line_volume.py

• Use thumb and index finger distance to control system volume

🔧 Configuration

Camera Settings

• Default resolution: 640x480
• Frame reduction: 100px border
• Smoothing factor: 7

Hand Detection Parameters

• Maximum hands: 2
• Detection confidence: 0.5
• Tracking confidence: 0.5

📋 Requirements

• Python 3.7+
• Webcam/Camera
• Windows/Linux/macOS
• Minimum 4GB RAM recommended

🎮 Gesture Guide

Gesture	Action	Description
👆 Index + Middle	Mouse Move	Move cursor around screen
✌️ Fingers Close	Click	Left mouse click
🤏 Ring + Pinky Close	Drag	Right click and drag
👍 Thumb + Index	Volume	Control system volume
👋 No Fingers	Scroll Down	Scroll down
👆 One Finger	Scroll Up	Scroll up
1-5 Fingers	Media Control	Different media actions

🚀 Advanced Features

• Real-time FPS display for performance monitoring
• Configurable detection parameters for different environments
• Multi-platform support (Windows, Linux, macOS)
• Modular architecture for easy customization
• Voice integration for hands-free operation

🔮 Future Development

• Body tracking integration
• Multi-screen support for large setups
• Custom gesture training
• Mobile app integration
• AR/VR compatibility

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request

👨‍💻 Authors

• Nitesh Kumar (@niteshmandall) - Project Lead
• Yash Tandon (@YashTandon01) - Contributor
• Sambit Kumar Pathy (@sambit2129) - Contributor

🔗 Repository

GitHub: https://github.com/niteshmandall/Tork

📊 Project Stats

• ⭐ 1 star | 🍴 3 forks | 👀 1 watching
• 🐍 100% Python codebase
• 📝 38 commits in master branch

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Note: This system is designed for large studio setups and multiscreen environments where traditional input methods may be impractical or inconvenient.