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.
Detection of braking intention in diverse situations during simulated driving based on eeg feature combination,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.HC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.