Based on the fact that S-transform enjoys many obvious advantages in non-stationary signal processing, the application of S-transform was presented in EEG analysis to explore the characters of drivers' EEG signals in this paper. Firstly, the result of all drivers' scores from FS-14 was analyzed. Then the EEG was divided into four different driving states according to the above analysis result, which were processed by using S-transform. The study shows that the different states can be distinguished well by the time-frequency spectrums. Thus, S-transform is expected to become an effective way in detecting driving fatigue.
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