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All-Virtual-Gestures

A comprehensive project that recognizes and interprets multiple virtual hand gestures using computer vision and machine learning techniques.

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All Virtual Gestures

A comprehensive project that recognizes and interprets multiple virtual hand gestures using computer vision and machine learning techniques.

Overview

All Virtual Gestures is designed to enable gesture-based interactions through real-time hand gesture recognition. By analyzing video input from a webcam, this project detects a variety of hand gestures that can be used to control applications, devices, or enhance accessibility.

Features

  • Real-time detection and classification of multiple hand gestures
  • Supports a wide range of predefined gestures
  • User-friendly interface with visual feedback
  • Potential for integration with IoT devices and other control systems

Technology Stack

  • Python 3.11
  • OpenCV for video capture and image processing
  • MediaPipe or other ML frameworks for hand landmark detection
  • NumPy for data manipulation
  • (Add any additional libraries or frameworks used)

Installation

  1. Clone the repository: bash git clone https://github.com/nabeelalikhan0/All-Virtual-Gestures.git cd All-Virtual-Gestures

  2. Create and activate a virtual environment (optional but recommended): bash python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate`

  3. Install dependencies: bash pip install -r requirements.txt

Usage

Run the main script to start gesture recognition:

bash python gesture_recognition.py

How to Use

  • Ensure your webcam is connected and accessible.
  • Follow on-screen prompts or instructions for performing gestures.
  • The system will provide visual or textual feedback based on recognized gestures.

Customization

  • Modify or expand the gesture set by updating the detection logic.
  • Adjust detection sensitivity and recognition thresholds for different environments.

Contributing

Contributions are welcome! Feel free to submit bug reports, feature requests, or pull requests.

License

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

Contact

Created by Nabeel Ali Khan - GitHub Profile
Reach out for questions, feedback, or collaboration opportunities.