Development of Car Drivers Fatigue Detection System
Date Issued
2010
Date
2010
Author(s)
Tseng, Chun-Jung
Abstract
The number of deaths due to traffic accidents reaches 600 thousand annually. That indirectly causes a serious economic loss. Many studies indicate that the accident due to the driver fatigue are more than 30% leading to fatality. An objective of this thesis is to develop a system in detecting driver fatigue. The research includes a driving virtual environment and adoption of method to analyze Electroencephalogram (EEG) signals. The driver’s behavior is revealed by detected driving parameters and the brain signal from conscious to microsleep. The brain signal includes the unexpected signal from eye-blinking which will be decomposed by the method of empirical mode decomposition (EMD). After EMD processing to eliminate unwanted noise, the signals between 8 to 12 Hz are found at obvious power peaks during the micro-sleep, meanwhile the recorded steering wheel parameter is also found an distinctly sharp change. These peaks can be discriminated by support vector machine (SVM). This study is paving a way to spot the area of mental state identification.
Subjects
Driver Fatigue
EEG
EMD
SVM
SDGs
Type
thesis
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