https://github.com/rajiv2004-cloud/eye-control-mouse
Eye Control Mouse
https://github.com/rajiv2004-cloud/eye-control-mouse
deep-learning eye-detection eye-tracking eyetracking machine-learning python3
Last synced: 6 months ago
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Eye Control Mouse
- Host: GitHub
- URL: https://github.com/rajiv2004-cloud/eye-control-mouse
- Owner: rajiv2004-cloud
- License: mit
- Created: 2023-07-22T05:41:40.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-15T07:49:41.000Z (over 1 year ago)
- Last Synced: 2025-03-26T05:42:17.892Z (6 months ago)
- Topics: deep-learning, eye-detection, eye-tracking, eyetracking, machine-learning, python3
- Language: Python
- Homepage:
- Size: 8.79 KB
- Stars: 4
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Eye Control Mouse
This Python script utilizes computer vision to create an eye-tracking mouse control system. The script uses the MediaPipe library for face mesh detection and PyAutoGUI for mouse control.
## Setup
### Prerequisites
- Python 3.x
- OpenCV
- MediaPipe
- PyAutoGUI
### Installation
1. Install the required dependencies:
```bash
pip install opencv-python mediapipe pyautogui
```
2. Clone the repository:
```bash
git clone https://github.com/rajiv2004-cloud/Eye-Control-Mouse.git
cd eye-control-mouse
```
## Usage
1. Run the script:
```bash
python eye_control_mouse.py
```
2. Adjust the camera to have a clear view of your face.
3. Move your eyes to control the mouse cursor.
4. Blink both eyes simultaneously to perform a click.
## Features
- Real-time eye tracking for mouse control.
- Blink detection for mouse clicks.
- Dynamic adjustment of mouse sensitivity based on eye movement.
- On-screen visualization of eye and click points.
## Customization
- Modify the `screen_x` and `screen_y` variables to adjust the initial mouse cursor position.
- Adjust the sensitivity factor in the mouse movement calculations for personalized control.
## Known Issues
- The script may require fine-tuning for different lighting conditions.
- Blink detection sensitivity may need adjustment based on individual user behavior.
## Contributing
1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and submit a pull request.
## Acknowledgments
- The script uses the [MediaPipe](https://mediapipe.dev/) library for face mesh detection.
- [PyAutoGUI](https://pyautogui.readthedocs.io/) is used for mouse control.
Feel free to customize the README file further based on your project's specific details and requirements.