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Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression [article]

Dongrui Wu, Vernon J. Lawhern, Stephen Gordon, Brent J. Lance, Chin-Teng Lin
2018 arXiv   pre-print
This paper proposes a novel enhanced batch-mode active learning (EBMAL) approach for regression, which improves upon a baseline active learning algorithm by increasing the reliability, representativeness  ...  We validate its effectiveness using driver drowsiness estimation from EEG signals. However, EBMAL is a general approach that can also be applied to many other offline regression problems beyond BCI.  ...  This paper has proposed a novel EBMAL approach for offline BCI regression problems, and used EEG-based driver drowsiness estimation as an example to validate its performance.  ... 
arXiv:1805.04737v1 fatcat:bswi4yxv2zhj3jfugsqbxsvuma

Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression

Dongrui Wu, Vernon J. Lawhern, Stephen Gordon, Brent J. Lance, Chin-Teng Lin
2016 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
This paper proposes a novel enhanced batch-mode active learning (EBMAL) approach for regression, which improves upon a baseline active learning algorithm by increasing the reliability, representativeness  ...  We validate its effectiveness using driver drowsiness estimation from EEG signals. However, EBMAL is a general approach that can also be applied to many other offline regression problems beyond BCI.  ...  This paper has proposed a novel EBMAL approach for offline BCI regression problems, and used EEG-based driver drowsiness estimation as an example to validate its performance.  ... 
doi:10.1109/smc.2016.7844328 dblp:conf/smc/WuLGLL16a fatcat:4xnjmqzzmrh65jc754ttiadome