基于驾驶员生理特征分析的驾驶疲劳状态识别方法研究

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1、武汉理工大学硕士学位论文基于驾驶员生理特征分析的驾驶疲劳状态识别方法研究姓名：毛喆申请学位级别：硕士专业：计算机应用技术指导教师：严新平20060401武汉理工大学硕士学位论文AbstractFatiguedriViⅡgisoneofthemainreasonsfortragictraf矗caccidentsandweidentifytheimportanceofdeVelopingdriVerf缸iguecounternleasuredeVicesinordertohelppreventdriVingaccidems．Numerousphy

2、sioIogicalindicatorsareavailabIetOdescribeanindiviclual’slevel0faltemesssuchaselec仃Oence．phalogram(BEG)，heanrate，etc．Weassessedfowsubjectsduringadriversirnulator住skwithmeaimtoisolate5specialedphysioIogicalindicators，includingheanrate(HR)，skinconduction(SC)，electromyogr咖(EMG

3、)，temperatureandrespiration，ch眦gesduringnoHnal，mediumand础emephasesoff缸igueduringdriVing．Fromt11esecollectedda“bsomephysiologicaleigenValuecharacterizedthesubjects’stateofmindwasabstractedaIldaphysiologicalin士brmationdatabasewasdeveloped．Usingthesedatewesubsequentlysuggestt1

4、1atthesubjects’drowsinesscanberecognizedby矗lzzyC．Me蛆sarimmetic．Thef缸iguedriVingexperimentswerecarriedoutont11ecars曲ulator．Thesubjects’physi0109icaldatawasacquiredbyProCompInfiniti，amulti·modalitysystemforreal·timecomputerizedbiofeedback蚰dd砒aacq试sition．Theacquisitiondataincl

5、udedHR，SC，EMGskintemperatllre，respirationrateaIldrespirationamplitude．Beforetheexperimems，anorthogonalexperimentaldesignhasbeenmadeaIldthesex，thetimetheexperiIIlentmadeandtlledrivingenVironmentareconsiderasfactorsthatmayaf挹ctthestateofthemindofthesubject．Accordingtothestate

6、oftllemilldoftllesubjectsduringt11ewholeexperiment，theconclusionofwhichfactoraffectsthestateofthesubjectm08tcanbedrawnbythemethodofrangeanalysis．Onthebasisof也eacquisitiondata，16groupsdataofeachstate，includingnomal，mediumandextremephases，areabstractedandaIlalyzed．while姐alysi

7、sresultsinthetime—domaincannotcharacterizemestatesofmindweU．thedatahasbeencomputedinthefrequency—dOmainusingwaVelet孤dFollriertr她sfom．Aftermewaveletdecomposingbydb4waveletfIlnction，eighteigenvalueshavebeendistiUedandtheseeighteigenValuesare：EMG’s仃。，ca5一e，cdl一e；HR’sII武汉理工大学硕士

8、学位论文巩．ca)一e，cdl-e，rd2一range；respiratjonV0111IIle’srdl一raIlge．Accordingtothecollect