A Survey on Drowsy Driver Detection System

被引：0
作者：
Kumari, Kusuma B. M. [1 ]
Kumar, Ramakanth P. [2 ]
机构：
[1] Tumkur Univ, Univ Coll Sci, Dept Comp Sci, Tumakuru, Karnataka, India
[2] RV Coll Engn, Dept Informat Sci & Engn, Bangalore, Karnataka, India
来源：
PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS AND COMPUTATIONAL INTELLIGENCE (ICBDAC) | 2017年
关键词：
driver drowsiness; different measures; factors; indicators; methods; SLEEPINESS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Every year the amounts of deaths and injuries are increasing in traffic accidents due to human errors. Drowsiness and driving is a very hazardous and it is very difficult to identify. After alcohol drowsiness is the second leading cause of the road accidents. People are conscious about the risk of drinking and driving but don't realize the dangerous of drowsiness because no instruments exist to measure the driver drowsiness. If the Driver failing to concentration on driving it reduces the driver reaction time and impair steering behavior. Driver drowsiness can cause several physical and economical losses; One way to detecting driver's drowsiness is to observe the driver with his driving, if driver not concentrating on driving alerts the driver with the alarm sound. In this paper, we review and discuss the various detection methods for detecting driver's drowsiness.
引用
收藏
页码：272 / 279
页数：8
相关论文
共 34 条
1234