Multi-Source Information Fusion for Drowsy Driving Detection Based on Wireless Sensor Networks

被引：0
作者：
Wei, Liang [1 ]
Jidin, Razali [2 ]
Mukhopadhyay, S. C. [3 ]
Chen, Chia-Pang [4 ]
机构：
[1] Changshu Inst Technol, Sch Comp Sci & Engn, Changshu 215500, Peoples R China
[2] Univ Tenaga Nasl UNITEN, Coll Engn, Kajang 43300, Malaysia
[3] Massey Univ, Sch Engn & Adv Technol, Palmerston North, New Zealand
[4] Natl Taiwan Univ, Dept Elect Engn, Taipei 106, Taiwan
来源：
2013 SEVENTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST) | 2013年
关键词：
wireless sensor networks; drowsy driving; driver behaviour; SYSTEM; EEG; BRAIN;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Drowsy driving is a major cause of road accidents. This paper analyses the drivers' behavior in the state of fatigue driving and introduces the latest developments of drowsy driving detection technology. In this study we also propose a drowsy driving detection based on the driver's physiological signals such as eye activity measures, the inclination of the driver's head, sagging posture, heart beat rate, skin electric potential, and electroencephalographic (EEG) activities, as well as response characteristics, decline in gripping force on the steering wheel and lane keeping characteristics. By developing a hierarchical model that is able to collect the sensing data, analyze the driving behavior and the reactions to the driver, it can provide a safe and a comfortable driving environment. Combining different indications of drowsiness and processing the contextual information to predict whether a driver is drowsy, the system not only issues a warning for the driver, but also provides the drowsy driving information to transportation
引用
收藏
页码：850 / 857
页数：8
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