@inproceedings{6e3f09399215408282d46bb03f77f556,
title = "Exploring the EEG correlates of neurocognitive lapse with robust principal component analysis",
abstract = "Recent developments of brain-computer interfaces (BCIs) for driving lapse detection based on electroencephalogram (EEG) have made much progress. This study aims to leverage these new developments and explore the use of robust principal component analysis (RPCA) to extract informative EEG features associated with neurocognitive lapses. Study results showed that the RPCA decomposition could separate lapse-related EEG dynamics from the task-irrelevant spontaneous background activity, leading to more robust neural correlates of neurocognitive lapse as compared to the original EEG signals. This study will shed light on the development of a robust lapse-detection BCI system in real-world environments.",
keywords = "BCI, Driving, Drowsiness, EEG, Fatigue, Lapse, RPCA",
author = "Chun-Shu Wei and Lin, {Yuan Pin} and Jung, {Tzyy Ping}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 10th International Conference on Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, AC 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",
year = "2016",
doi = "10.1007/978-3-319-39955-3_11",
language = "English",
isbn = "9783319399546",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "113--120",
editor = "Fidopiastis, {Cali M.} and Schmorrow, {Dylan D.}",
booktitle = "Foundations of Augmented Cognition",
address = "德國",
}