| 摘要(英) |
Driver fatigue and drowsiness are an important factor causing serious traffic accidents. In recent years, fatigue driving results in many people deaths or hurts. Therefore, more and more people put into these researches about how to detect driver fatigue and drowsiness. We hope to design a warning system for fatigue sleeping to reduce traffic accidents. In this study, we measured the eye movements by electro-oculography(EOG). The potential difference measured between the skins above and below the eyes reflected the eye movements in the vertical direction; that measured between the skins to the right and to the left of the eyes reflected the eye movements in the horizontal direction. We analyzed the saccade velocity of the EOG horizontal signal, the eye blinking frequency, the duration time of eye closure and the velocity of eye opened after closing the eyes. The fatigue warning system was developed on the basis of these analysis. The system was evaluated by emulation with a game named Euro Truck. The experiment was tested by 8 volunteers. The system can detect the fatigue and sleepy signals. When the signals were detected continuously, the system will warn the driver. In the future, we can compare with different physiological signals (EEG / ECG) and modify the eye movement parameters threshold so that the system will be more accurate in detection. |
| 參考文獻 |
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