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.
Recognition of drivers’ hard and soft braking intentions based on hybrid brain-computer interfaces,
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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.