ciglenecki/eeg-driver-fatigue-detection
🧠+ 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system
This project helps researchers and practitioners in transportation safety and neurophysiology analyze EEG data to detect driver fatigue. It takes raw EEG signals from a driving session and processes them to identify patterns indicative of fatigue. The output is a classification of the driver's state (fatigued or not) based on various signal features, useful for understanding and preventing driver impairment.
Use this if you need to build or evaluate a system for automatically detecting driver fatigue using brainwave data collected via an EEG headset.
Not ideal if you are looking for a pre-built, ready-to-deploy commercial solution or if your primary data source is not EEG signals.
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Language
Python
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Last pushed
Feb 21, 2026
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