cuijiancorbin / A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEGView external linksLinks
In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (CAM) method for visualization. Results show that the model not only has a high accuracy but also learns biologically explainable features, e.g., Alpha spindles and Theta burst, as evidence for the drowsy state.…
☆28Mar 9, 2022Updated 3 years ago
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