ciglenecki/eeg-driver-fatigue-detection
🧠+ 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system
Implements entropy fusion analysis across 30 EEG channels with multiple preprocessing pipelines (standard, alpha/beta band decomposition, ICA) to extract 1-second epoch features. Compares SVM, Random Forest, KNN, and neural network classifiers using leave-one-participant-out cross-validation and grid search optimization. Addresses data leakage through proper train-test normalization and identifies significant electrodes via weighted contribution analysis from published research methodology.
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Python
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Last pushed
Feb 21, 2026
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