|本期目录/Table of Contents|

[1]何明山,罗卫东,陈启新,等.基于DSP虹膜识别防疲劳驾驶报警系统的研究[J].中国安全生产科学技术,2016,12(1):127-131.[doi:10.11731/j.issn.1673-193x.2016.01.024]
　HE Mingshan,LUO Weidong,CHEN Qixin,et al.Research on anti fatigue driving alarm system by iris recognition based on DSP[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(1):127-131.[doi:10.11731/j.issn.1673-193x.2016.01.024]
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基于DSP虹膜识别防疲劳驾驶报警系统的研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
12
期数:
2016年1期
页码:
127-131
栏目:
现代职业安全卫生管理与技术
出版日期:
2016-01-30

文章信息/Info

Title:
Research on anti fatigue driving alarm system by iris recognition based on DSP
文章编号:
1673-193X（2016）-01-0127-05
作者:
何明山; 罗卫东; 陈启新; 张立
（ 贵州大学 机械工程学院, 贵州 贵阳 550025 ）
Author(s):
HE Mingshan;  LUO Weidong;  CHEN Qixin;  ZHANG Li
(School of Mechanical Engineering, Guizhou University, Guiyang Guizhou 550025, China)
关键词:
DSP; 疲劳驾驶; 虹膜识别; 主观监测
Keywords:
DSP;  fatigue driving;  iris recognition;  subjective monitoring
分类号:
X951
DOI:
10.11731/j.issn.1673-193x.2016.01.024
文献标志码:
A
摘要:
防止疲劳驾驶以主观监测和客观检测为主，但其在可靠性、成本、检测方法上存在不足，为此，设计了一套基于DSP虹膜识别防止疲劳驾驶报警系统。借鉴国内外学者的研究，遵循实时性、准确性、简洁性及经济性的设计原则，以虹膜识别算法为依据，DSP微处理器控制技术为基础进行了开发，该报警系统可在不干扰驾驶员的情况下，识别驾驶员身份，记录驾驶时间，识别疲劳驾驶并报警。测试结果表明：系统结构简单，实现了模块化。虹膜识别模块、计时模块基本满足了准确性和实时性的要求。
Abstract:
To prevent the fatigue driving is given priority to subjective monitoring and objective detection, but the shortcomings existed on reliability, cost and detection method. Therefore, a set of anti fatigue driving alarm system by iris recognition based on DSP was designed. By referencing the research of scholars both at home and abroad, following the design principles of real-time, accuracy, simplicity and economy, and taking the algorithm of iris recognition as basis, the development was conducted based on the control technology of DSP microprocessor. On condition that the driver is not disturbed, the alarm system can identify the driver, record the driving time, identify fatigue driving and alarm. The test results showed that the structure of system was simple and realized the modularity. The modules of iris recognition and timekeeping satisfied the requirements of accuracy and real-time basically.

参考文献/References:

［1］牛清宁, 周志强, 金立生,等.基于眼动特征的疲劳驾驶检测方法［J］.哈尔滨工程大学学报, 2015:394-398. NIU Qingning, ZHOU zhiqiang, JIN lisheng, et al.Based on the characteristics of eye movement fatigue driving detection method ［J］. Journal of Harbin Engineering University, 2015:394-398.
［2］刘亚涛,王立峰,张广听.基于人脸识别的疲劳驾驶检测及识别系［P］.中国专利号201320000232，2013-01-01.
［3］Jin L, Niu Q, Jiang Y, et al. Driver sleepiness detection system based on eye movements variables［J］.Advances in Mechanical Engineering, 2013, 2013(5):1-7.
［4］Dong Y, Hu Z, Uchimura K, et al. Driver Inattention Monitoring System for Intelligent Vehicles: A Review［J］. Intelligent Transportation Systems IEEE Transactions on, 2011, 12(2):596-614.
［5］Lenskiy A A, Lee J S. Driver’s eye blinking detection using novel color and texture segmentation algorithms［J］. International Journal of Control Automation & Systems, 2012, 10(2):317-327.
［6］马乐,姜立标,王会荣,等. 驾驶员疲劳驾驶预警系统的设计［J］.哈尔滨工业大学学报,2011, 43(5):139-143. MA Le, JIANG Libiao，WANG Huirong，et al.The early-warning system of driver fatigue design ［J］. Journal of Harbin institute of Technology, 2011, 43 (5) : 139-143.
［7］赵燕.传感器原理及应用［M］.北京：北京大学出版社, 2010.
［8］许威,权芳芳,李陈陈,等. 基于TMS320DM6446和Adaboost算法的防疲劳驾驶系统的研究［J］.自动化技术与应用, 2013, 32:48-51 XU Wei， QUAN Fangfang, LI Chenchen, et al.The anti fatigue driving system based on TMS320DM6446 and Adaboost algorithm research ［J］. Automation Technology and Applications, 2013, 32:48-51.
［9］孙畅. 车辆辅助驾驶中基于DSP的道路行人识别算法研究［D］. 吉林：吉林大学, 2013.
［10］张云.基于DM6446的嵌入式虹膜识别系统的设计与开发［D］.成都：电子科技大学,2010.
［11］贾永红.数字图像处理实习教程［M］.武汉：武汉大学出版社,2012.
［12］高雪飞,安永丽.基于虹膜识别的汽车防盗系统设计［J］.信息系统工程,2012（8）:40-42 GAO Xuefei, AN Yongli. The car alarm system based on iris recognition design ［J］. Information Systems Engineering, 2012（8）： 40-42.
［13］各国防疲劳限时驾驶规定［J］.工业安全与环保,2003(6)：8-8 The defense fatigue limit driving rules ［J］. Journal of Industrial Safety and Environmental Protection, 2003(6)：8-8.

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备注/Memo

备注/Memo:
贵州大学研究生创新基金项目（研理工2014022）；贵阳市科技计划项目（筑科合同(2011101)1-27号）
更新日期/Last Update: 2016-03-01