Welcome to Game Boy Recorder, an emulator-based system designed not only to play classic Game Boy games, but also to record gameplay data for research purposes in artificial intelligence.
Our long-term goal is to build a dataset that can help advance AI models in understanding human decision-making, gameplay strategies, and learning patterns.
Game Boy Recorder works like a traditional emulator, but with an important addition:
- 🕹️ Play your favorite Game Boy games
- 📊 Automatically record gameplay data
- 🤖 Contribute to AI research
The system captures anonymized interaction data that can later be used to study how humans play, adapt, and solve problems.
git clone https://github.com/edofazza/gameboylearning-human.git
cd game-boy-recorderconda create -n gb-recorder python=3.10
conda activate gb-recorderpip install -r requirements.txtcd src
python app.pyWhile you play, the system records gameplay data such as:
- Inputs (button presses)
- Game states
- Timing and sequences
🔒 Privacy first: No personal or identifying information is collected.
If you'd like to contribute to the research effort, you can send your recorded data files to:
📧 edoardo.fazzari@mbzuai.ac.ae
We deeply appreciate any contribution — every dataset helps improve the quality and impact of the research.
Contributions are welcome!
- Open issues for bugs or suggestions
- Submit pull requests for improvements
- Share ideas for research directions
- Contributors in data collection can be featured in the repo (if they are willing)
Game Boy Recorder is an open initiative aimed at bridging gaming and artificial intelligence research. By combining human gameplay with modern data analysis, we hope to:
- Better understand learning behavior
- Improve AI training methods
- Explore new approaches to game-playing agents
- Standalone desktop application
- Improved data export formats
- Public dataset release
If you find this project interesting, consider giving it a star ⭐ on GitHub and sharing it with others!
- Your name could be here!
If you contribute, feel free to add your name via a pull request or let us know so we can include you.
Happy gaming and thank you for contributing to AI research! 🚀