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Stretchable, transparent triboelectric nanogenerator as a highly sensitive self-powered sensor for driver fatigue and distraction monitoring
Nano Energy ( IF 17.6 ) Pub Date : 2020-09-10 , DOI: 10.1016/j.nanoen.2020.105359
Xiao Lu , Li Zheng , Haodong Zhang , Wuhong Wang , Zhong Lin Wang , Chunwen Sun

The ever-increasing automobiles have caused large number of traffic accidents every year. Fatigue driving and distracted driving are two main reasons for most of traffic accidents. Thus, intelligent transportation has attracted much attention. In this work, a stretchable polyacrylamide (PAAM) -LiCl-based triboelectric nanogenerator (PL-TENG) is utilized for the first time to monitor driver fatigue and distraction by attaching them to the face and neck of a driver. These PL-TENG sensors can detect eye closure, mouth closure, and neck rotation with high accuracy. Eye blink duration (BD), blink interval duration (BID), percentage of eyelid closure over time (PERCLOS) and yawn frequency (YF) are chosen as indicators of driver fatigue, while mouth closure and head positioning are chosen as indicators of driver distraction. The PL-TENG sensor has the characteristics of high voltage, high sensitivity and good biocompatibility, which demonstrates that the PL-TENG sensors are more sensitive than traditional fatigue detection systems. This work paves a new way for designing highly sensitive self-powered sensor in an intelligent transportation system.



中文翻译:

可拉伸的透明摩擦电动纳米发电机,作为高灵敏度的自供电传感器,用于驾驶员疲劳和注意力分散监测

不断增长的汽车每年造成大量交通事故。疲劳驾驶和分心驾驶是大多数交通事故的两个主要原因。因此,智能交通吸引了很多关注。在这项工作中,可伸缩的聚丙烯酰胺(PAAM)-LiCl基摩擦纳米发电机(PL-TENG)首次用于将驾驶员的疲劳和注意力分散到驾驶员的面部和颈部,从而监测驾驶员的疲劳和注意力分散情况。这些PL-TENG传感器可以高精度检测眼睛闭合,嘴闭合和脖子旋转。选择眨眼持续时间(BD),眨眼间隔持续时间(BID),眼睑闭合时间百分比(PERCLOS)和打哈欠频率(YF)作为驾驶员疲劳的指标,而选择闭嘴和头部定位作为驾驶员分心的指标。PL-TENG传感器具有高电压,高灵敏度和良好的生物相容性的特点,这表明PL-TENG传感器比传统的疲劳检测系统更灵敏。这项工作为在智能交通系统中设计高度灵敏的自供电传感器铺平了道路。

更新日期:2020-09-10
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