Monitoring System for Fatigue Driving based on The Internet of Things

被引：2

作者：

Wu, Fang ^{[1
]}

Han, Na ^{[1
]}

Chen, Peiyong ^{[1
]}

Chen, Dongwei ^{[1
]}

机构：

[1] Beijing Inst Technol, Dept Comp, Zhuhai, Guangdong, Peoples R China

来源：

2013 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS (ITA) | 2013年

关键词：

fatigue driving; fatigue detection; dynamic sliding window detection; embedded system; internet of things;

D O I：

10.1109/ITA.2013.16

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fatigue driving is a serious problem for human life and economy. In this paper, an alertness of fatigue driving estimating system was designed based on the internet of things with personal computer, 6410-ARM developed platform and the combination of GPS, GPRS and Zibgee peripheral modules. We also proposed the framework of algorithm, which is called dynamic sliding window detection, to distinguish level of fatigue state. With the real-time communication between monitoring center and vehicle terminal, it is able to keep the local and remote alarm, monitor vehicle information in remote, and deliver early warning signal to other vehicle around.

引用

页码：43 / 46

页数：4

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