GestureX

Table of Contents

• GestureX
  • Table of Contents
  • Description
  • Features
  • Installation
  • Usage
  • Supported Hand Gestures
  • Credits
  • License

Description

GestureX is a Python application that recognizes hand gestures using a webcam and maps them to custom commands making the interaction with your computer more intuitive, fun and inclusive. The application provides a real-time preview of the webcam feed with hand gesture recognition. It is easily configurable through a graphical user interface and supports multiple camera sources.

Features

• Hand gesture recognition: The application recognizes hand gestures using a webcam;
• Real time preview: The application provides a real-time preview of the webcam feed with hand gesture recognition;
• Multiple camera sources: The application supports multiple camera sources;
• Easily configurable: The application is easily configurable through a graphical user interface.

Installation

1. Clone the repository (Pick your favorite mirror):

   git clone https://git.0x7f.in/sarthak/GestureX

   git clone https://github.com/flying-pizza-69/GestureX.git

2. Create and activate Virtual Environment

   cd GestureX
   python3 -m venv venv
   source venv/bin/activate
   

3. Install the required dependencies:

   (venv) pip install -r requirements.txt

4. Install the required fonts to display emojis

• Arch Linux

  pacman -S noto-fonts-emoji

• Ubuntu or Debian

  apt-get install fonts-noto-color-emoji

• Fedora or RHEL Based

  dnf install google-noto-emoji-fonts

• openSUSE

  zypper install google-noto-emoji-fonts

4. Run the application:

   python3 gui.py

Usage

1. Start the application by running the gui.py script;
2. Set the camera source and the desired hand gesture commands in the graphical user interface;
3. Perform the hand gestures in front of the webcam to trigger the mapped commands and interact with your computer;
4. (Optional) Import the gestures_commands.json file to get sample bindings to test the app.

Supported Hand Gestures

Hand Gesture Name	Gesture
Okay	👌
Peace	✌️
Thumbs Up	👍
Thumbs Down	👎
Call Me	🤙
Stop	✋
Rock and Roll	🤘
Fist Bump	👊
Smile Hand	👉
Live Long	🖖

These are the default gestures recognized by the model I am currently using. I am also working on the possibility of adding your custom gestures and on the support for dynamic gestures. If you have any suggestions or want to contribute to the project, feel free to open an issue or submit a pull request.

Credits

This project utilizes the following libraries:

• OpenCV for the webcam feed and image processing;
• Google MediaPipe project for the hand gesture recognition model;
• Gtk for the graphical user interface;

License

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