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A Fuzzy Expert System for the Early Warning of Accidents Due to Driver Hypo- Vigilance

机译:驾驶员低警惕事故预警的模糊专家系统

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摘要

In this paper a Fuzzy Expert System for the prediction of Hypovigilance-related accidents is presented. The system uses physiological modalities in order to detect signs of extreme hypovigilance. An advantage of such a system is its extensibility regarding the physiological modalities and features that it can use as inputs. In that way, even though currently only eyelid-related features are exploited, in the future and for prototypes designed tor professionals other physiological modalities, such as EEG can be easily integrated in the existing system in order to make it more robust and reliable.
机译:本文提出了一种用于预测与低警惕性相关事故的模糊专家系统。该系统使用生理形态来检测极端警惕的迹象。这种系统的一个优点是它可以用作输入的有关生理形态和特征的可扩展性。这样,即使目前仅利用眼睑相关的功能,在将来,以及为专业人员设计的原型,其他生理模式(例如EEG)也可以轻松集成到现有系统中,以使其更加强大和可靠。

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