基于TMS320DM6446和Adaboost算法的防疲劳驾驶系统的研究  

Research of Anti- Fatigue Driving System Based On TMS320DM6446 and Adaboost Algorithm

作　　者：许威[1] 权芳芳[1] 李陈陈[1] 皇淼淼[1] 

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001

出　　处：《自动化技术与应用》2013年第1期48-51,共4页Techniques of Automation and Applications

摘　　要：本文设计了一种基于TMS320DM6446的防疲劳驾驶报警系统,考虑到防疲劳驾驶报警系统实时性的要求,此处选择实时性较好的Adaboost算法来识别定位人眼,进而分析眼睛的状态和提取眼睛的特征参数。最后,根据单位时间内眼睛闭合时间所占得百分比的PERCLOS值方法来判断驾驶员的疲劳程度,用蜂鸣器来报警,以提醒驾驶员。实验表明,该报警系统简单实用,实时性和准确性较好,能有效地进行防疲劳驾驶报警。The paper describes a design of anti-fatigue driving system based on TMS320DM6446, taking into account the require- ment of real time of the anti fatigue driving alarm system, using a better real-time Adaboost algorithm to identify the orientation of human＇s eyes, then analyzing the state of the eyes and extracting the characteristic parameters of the eyes. Finally, according to the PERCLOS value, which is the percentage of eyes closure time accounts for the unit time to determine the degree of the driver＇s fatigue, using the buzzer to alarm and remind the drive,. Experimental results show that, the alarm system is simple and practical, real-time and good accuracy, can effectively prevent fatigue driving.

关 键 词：TMS320DM6446 ADABOOST算法 PERCLOS 防疲劳驾驶 

分 类 号：U169.61[交通运输工程]