TY - GEN
T1 - Detecting emergency situations by monitoring drivers' states from EEG
AU - Fan, Xin'an
AU - Bi, Luzheng
AU - Wang, Zhi
PY - 2012
Y1 - 2012
N2 - This paper proposes a new method to detect pedestrian sudden occurrence, as an example of emergency situations, by monitoring drivers' state from EEG. Three drivers attended the experiment in a driving simulator with virtual driving environments with EEG signals being collected at twenty standard locations on the scalp. The (LDA) classifier with power spectrum of EEG potentials as input features of the detection model was used to recognize the emergency situation, and (ROC) was used to determine the threshold of the classifier. The experimental results of three healthy subjects indicate that the detection model can recognize the emergency situation within one second (shorter than the response time of drivers) with an accuracy of about 70%, showing that it is feasible to detect emergency situations by monitoring driver's states from EEG.
AB - This paper proposes a new method to detect pedestrian sudden occurrence, as an example of emergency situations, by monitoring drivers' state from EEG. Three drivers attended the experiment in a driving simulator with virtual driving environments with EEG signals being collected at twenty standard locations on the scalp. The (LDA) classifier with power spectrum of EEG potentials as input features of the detection model was used to recognize the emergency situation, and (ROC) was used to determine the threshold of the classifier. The experimental results of three healthy subjects indicate that the detection model can recognize the emergency situation within one second (shorter than the response time of drivers) with an accuracy of about 70%, showing that it is feasible to detect emergency situations by monitoring driver's states from EEG.
KW - EEG
KW - LDA
KW - driver response
KW - emergency situations
KW - pedestrian sudden occurrence
UR - http://www.scopus.com/inward/record.url?scp=84867631964&partnerID=8YFLogxK
U2 - 10.1109/ICCME.2012.6275717
DO - 10.1109/ICCME.2012.6275717
M3 - Conference contribution
AN - SCOPUS:84867631964
SN - 9781467316163
T3 - 2012 ICME International Conference on Complex Medical Engineering, CME 2012 Proceedings
SP - 245
EP - 248
BT - 2012 ICME International Conference on Complex Medical Engineering, CME 2012 Proceedings
T2 - 6th International Conference on Complex Medical Engineering, CME 2012
Y2 - 1 July 2012 through 4 July 2012
ER -