Title :
Monitoring System for Fatigue Driving Based on the Internet of Things
Author :
Fang Wu ; Na Han ; Peiyong Chen ; Dongwei Chen
Author_Institution :
Dept. of Comput., Beijing Inst. of Technol. Zhuhai, Zhuhai, China
Abstract :
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.
Keywords :
Internet of Things; driver information systems; user interfaces; 6410-ARM developed platform; GPRS; GPS; Internet of Things; Zibgee peripheral modules; dynamic sliding window detection; early warning signal; fatigue driving estimating system; local alarm; remote alarm; vehicle terminal; Accidents; Fatigue; Global Positioning System; Heuristic algorithms; Monitoring; Vehicles; Zigbee; dynamic sliding window detection; embedded system; fatigue detection; fatigue driving; internet of things;
Conference_Titel :
Information Technology and Applications (ITA), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-2876-7
DOI :
10.1109/ITA.2013.16
