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Study On The Methods For Driver Fatigue Detection Based On INRS

Posted on:2010-07-24Degree:MasterType:Thesis
Country:ChinaCandidate:S X DaiFull Text:PDF
GTID:2132360278973417Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
Driver fatigue driving is the important reason of frequent accidents in recent years ,it has become the major research hot spot in university and auto enterprise .The study on fatigue driving can not only reveals the driver fatigue discipline in driving process ,more important is to develop fatigue warning devices provide reliable information Driver fatigue warning devices as a not mature active defense devices will have vide market prospect .At present,however,the market has not presented the product can stand the market test ,the main reason is various fatigue testing technology exits this or that do not overcome shortcomings .Therefore ,looking for a new simple and reliable way of real-time detection, are still driving fatigue test research hotspot.Oxygen is one of an importan matters maintain the body's normal life ,so oxygen-poor can be the important factor caused driver fatigue . So real-time detection of human tissue oxygenation, to reveal fatigue mechanism and develop evaluation techniques have important significance. Human tissue oxygenation condition can use he new development of near infrared spectral technology in recent years, it can be intact, continuous, real-time detection of human blood oxygen parameter. In this paper , the application of near infrared spectroscopy testing driver muscle and brain tissue oxygenation,is the new method for near infrared spectral technology used in the field of fatigue driving testing. The paper main work as follows:1 Comprehensive analysis of the current situation of the development of fatigue warning technology and its difficulty ,mentioned the methods adopting the near infrared spectroscopy application research on fatigue driving. The paper studyed the near infrared spectral method to detect tissue oxygen parameter, the basic theory and the driver fatigue used to evaluate the feasibility analysis. Introduces the current of near infrared spectral technology the latest achievements of near infrared spectral TASH - 100 blood oxygen nondestructive monitoring instrument structure theory, and the application in the use of fatigue driving test method.2 Fatigue can be divided into two kinds of driving, mental fatigue and strength fatigue.Mental fatigue are closely interrlated to oxygenation condition of brain tissue. Therefore, this paper designs the experiment on the driving simulator. Test results show that the human brain blood oxygen parameter variation law can reveal driver mental fatigue, the more important is brain tissue oxygenation saturation show significance down law , concluded the brain tissue oxygen saturation can be as a driver fatigue evaluation.3 This paper firstly analyzes the mechanism of human muscle fatigue,and common used muscle fatigue testing methods. On this basis,designing an experiment similar with brain oxygen monitoring. Experimental results show that the human muscle tissue oxygen parameter can be used to evaluate driver fatigue. Foremost among these, are the muscle oxygen saturation with driving time presents significant decline, can be used as evaluation of another driver fatigue reliability index.4 In view of the above research conclusion,concepted fatigue alarm device based on the near infrared spectrum method to detect brain tissue oxygen saturation and lumbar muscle tissue oxygen saturation,provided main main hardware facilities,designed the structural framework of software system.Near infrared spectroscopy application in fatigue driving research is still in groping stage,current its development diddiculty are subject to contact between driver and sensor. Along with the development of non-contact sensors, near infrared spectroscopy application in driving tiredness monitoring has bright prospect.
Keywords/Search Tags:driving fatigue, near infrared spectroscopy method, driving silulator, ANVOA, fatigue alarm device
PDF Full Text Request
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