| Summary: | 碩士 === 國立臺北科技大學 === 自動化科技研究所 === 103 === In this study, a drowsiness identification system using mindwave EEG signal is proposed. With the noninvasive mindwave headset developed by NeuroSky, the time domain signal of the mindwave is used to recognize eye movement and the user's fatigue level. First, the EEG raw signal is transformed by the wavelet transformation. Second, the eigenvalues are computed based on the Daubechies wavelet. Third, the support vector machine and the back propagation neural network are studied to identify the status of eye movement using the eigenvalues. Finally, the fuzzy logic is used to obtain the fatigue level, according to the frequency of the eye movement and the time of closing eyes.
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