An Embedded Driver Fatigue Detect System Based on Vision

被引：1
|
作者：
Shen, Huaming [1 ]
Xu, Meihua [1 ]
Ran, Feng [2 ]
机构：
[1] Shanghai Univ, Coll Mechatron Engn & Automat, Dept Automat, 149 Yanchang Rd, Shanghai 200072, Peoples R China
[2] Shanghai Univ, Microelect R&D Ctr, 149 Yanchang Rd, Shanghai 200072, Peoples R China
来源：
ADVANCED COMPUTATIONAL METHODS IN LIFE SYSTEM MODELING AND SIMULATION, LSMS 2017, PT I | 2017年 / 761卷
基金：
中国国家自然科学基金;
关键词：
Embedded system; Driver fatigue; Support vector machine; FACE DETECTION; ACCIDENTS; FILTER;
D O I：
10.1007/978-981-10-6370-1_45
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The embedded driver fatigue detect system is a real-time system can detect driver fatigue. In order to improve the performance of embedded driver fatigue monitor system, we propose a new system on chip (SOC) structure for accelerating the fatigue estimate. The new SOC consists two parts including the main processor and support vector machine IP core. An embedded Linux was transplanted and run the main algorithm which consists Haar-Adaboost classifier to locate the face and eyes. The SVM IP core accomplished the task of classifying the eyes' statues. At last the system will estimate the state with PERCLOS standard. The results show that the system can content the need of real-world.
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页码：455 / 461
页数：7
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