A blind source separation framework on EEG identifies stable braking-related components to predict emergency braking intensity with 8-24% lower RMSE than prior methods on open and simulated datasets.
Machine learning for real-time single-trial eeg analysis:from brain–computer interfacing to mental state monitoring,
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EEG-Based Emergency Braking Intensity Prediction Using Blind Source Separation
A blind source separation framework on EEG identifies stable braking-related components to predict emergency braking intensity with 8-24% lower RMSE than prior methods on open and simulated datasets.