Design and Implementation of Embedded Driver Fatigue Monitor System

被引：0

作者：

Shen, H. M. ^{[1
]}

Xu, M. H. ^{[1
]}

机构：

[1] Shanghai Univ, Sch Electromech Engn & Automat, Shanghai 200041, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2015) | 2015年 / 123卷

关键词：

fatigue; embedded; PERCLOS; classifier;

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：

In order to improve the performance of embedded driver fatigue monitor system, this article designed and implemented a new system based on Soc. This design adopts the ARM as the core processor which is connected to other peripheral by FPGA. The system also uses the embedded Linux to run the main algorithm which consists two Haar-Adaboost classifier to locate the eyes and classify the status of eye by support victor machine. At last by using PERCLOS standard the system will judge whether the driver is fatigue. Experimental results show that the system has a good real-time performance and the processing rate can reach 25 frames per second.

引用

页码：103 / 106

页数：4

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