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Test-Time Entropy Minimization with Prototype Learning for EEG Signals

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Test-Time Entropy Minimization with Prototype Learning for EEG Signals (TEMPLE)

This is official code for

G.-D. Jang, D.-K. Han, and S.-W. Lee, "Test-Time Adaptation for EEG-based Driver Drowsiness Classification," ICPRAI (Oral), 2024.

Goal

Online test-time adaptation to the target domain to mitigate the domain shift between the source subjects and the target subject

Materials

Sustained-attention driving dataset - Z. Cao, C.H. Chuang, J.K. King, C.T. Lin, "Multi-channel EEG recordings during a sustained-attention driving task," Scientific Data , 2019.

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Test-Time Entropy Minimization with Prototype Learning for EEG Signals

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