摘要
司机疲劳驾驶容易引起严重的交通事故,疲劳状态检测系统的研究成为计算机应用研究的重要领域。为了满足疲劳状态检测系统实时性要求,选择实时性较好的Adaboost算法来识别人眼,采用单位时间内眼睛闭合时间所占的百分率来判断疲劳状态,应用该算法后进行疲劳驾驶训练和识别研究。选择DSP移植方案并将疲劳状态检测算法移植到DSP中。经过实时检测实现的系统基本能满足实时检测疲劳驾驶的要求。
Driver fatigue can trigger serious driving accidents, and fatigue detection system is an important area of computer application. In order to meet real time fatigue detection system requirements, select a good real-time adaboost algorithm to identify the human eye. After application of the algorithm training and recognition of driver fatigue,DSP transplant program is chosen and careful selection of fatigue detection algorithm is used. The system can satisfy the requirements of real-time detection of driver fatigue.
出处
《微型机与应用》
2010年第18期92-94,共3页
Microcomputer & Its Applications
