The Hand-Tracking-Mouse project is an innovative open-source initiative designed to offer an alternative way to control the computer mouse for individuals facing challenges with traditional mouse devices due to physical impairments or disabilities. Utilizing advanced hand tracking technology, this project enables users to navigate and interact with their computer using simple hand movements.
This project leverages the power of OpenCV and MediaPipe for precise hand detection and tracking, alongside PyAutoGUI for seamless mouse cursor control. It's a testament to how technology can be used to make computing accessible to everyone.
Before you begin, ensure you have the following installed on your system:
- Python 3.x
- pip (Python package installer)
- Clone the repository to your local machine: git clone https://github.com/xn-coder/Hand-Tracking-Mouse.git
- Navigate to the project directory: cd Hand-Tracking-Mouse
- Install the required libraries using pip: pip install -r requirements.txt
To start using the hand tracking mouse, run the following command in your terminal: python hand_tracking_mouse.py Once the program is running, it will use your computer's webcam to detect and track your hand movements. Move your hand to control the mouse cursor. To simulate a mouse click, make a fist with your hand.
Press the 'q' key at any time to exit the program.
- OpenCV: For image processing and hand detection.
- MediaPipe: For robust hand tracking.
- PyAutoGUI: For controlling the mouse cursor.
Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
The Hand-Tracking-Mouse project is developed and maintained by XNCoders. It aims to provide a more accessible computing experience for individuals with physical impairments or disabilities, demonstrating the potential of hand tracking technology in everyday computing tasks.
Thank you for your interest in the Hand-Tracking-Mouse project. Your support and contributions are what drive the success and improvement of this initiative.