BACflow

machine learning framework for blood alcohol content (BAC) estimation.

🌟 overview

BACflow supports the following modelling techniques:

• classical modelling methods derived from E. Widmark's mathematical framework¹;
• non-intrusive time-series modelling methods using implicit feature fusion (i.e., inertial and biometric data)².

📁 resources

• BAC-simulator
• drinkR - estimate your BAC
• drinkR - repository
• get-BAC
• Michaelis–Menten kinetics
• pybind11 - chat-GPT
• pybind11 - scikit-build
• pybind11 - setuptools

🤝 contributing

contributions to BACflow are welcome!

feel free to submit pull requests or open issues on our repository.

📄 license

see the LICENSE file for more details.

Footnotes

1. D. Posey and A. Mozayani, The Estimation of Blood Alcohol Concentration: Widmark Revisited, 2007 ↩

2. A. McAfee, J. Watson, B. Bianchi, C. Aiello and E. Agu, AlcoWear: Detecting Blood Alcohol Levels from Wearables, 2017 ↩