@inproceedings{8260a58b452b471786dbcc90a2f02cd7,
title = "Neuro-driving: Automatic perception technique for upcoming emergency situations",
abstract = "We propose a neuro-driving simulation framework for the detection of emergency situation under general circum-stances. Previous work on neuro-driving has been shown that neural activity related with emergency situations while driving generates a different characteristic spatio-temporal event-related potential (ERP) pattern compared to normal state [1]. In this paper, on the basis of those study, three kinds of emergency situations are designed to discriminate ERP patterns between a variety of emergencies and normal driving situation. Based on comparison analysis based on KU and BBCI dataset, it is believed that the proposed framework can be considered as a novel EEG-based automatic perception technique for upcoming emergency situations.",
keywords = "EEGIERP Emergency braking, Neuro-driving",
author = "Kim, {Jeong Woo} and Kim, {Il Hwa} and Lee, {Seong Whan}",
year = "2013",
doi = "10.1109/IWW-BCI.2013.6506609",
language = "English",
isbn = "9781467359733",
series = "2013 International Winter Workshop on Brain-Computer Interface, BCI 2013",
pages = "8--9",
booktitle = "2013 International Winter Workshop on Brain-Computer Interface, BCI 2013",
note = "2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 ; Conference date: 18-02-2013 Through 20-02-2013",
}