Title :
Statistics analysis and eigenvalue construction of EEG for driving fatigue by fuzzy entropy arithmetic
Author :
Mingen Zhong ; Junqiang Peng ; Hanchi Hong
Author_Institution :
Dept. of Mech. Eng., Xiamen Univ. of Technol., Xiamen, China
Abstract :
In this paper, electroencephalograms (EEG) of drivers driving under normal and fatigue state are collected and decomposed into 4 components, d1, d2, d3 and d4, by way of empirical mode decomposition (EMD). And Fuzzy Entropy arithmetic was used to analyze the characteristic of the components. Results show that fuzzy entropy ratio of d2 and d4 was able to distinguish the two types of EEG with a favorably agreed difference, which could decide whether or not the driver is in driving fatigue (DF).
Keywords :
eigenvalues and eigenfunctions; electroencephalography; entropy; fuzzy set theory; statistical analysis; traffic engineering computing; EEG; driving fatigue; eigenvalue construction; electroencephalogram; empirical mode decomposition; fatigue state; fuzzy entropy arithmetic; fuzzy entropy ratio; statistics analysis; Accidents; Electroencephalography; Entropy; Fatigue; Physiology; Silicon; Vehicles; driving fatigue(DF); electroencephalogram (EEG); empirical mode decomposition; fuzzy entropy;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023079
