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ID:40707364
大小:3.09 MB
页数:137页
时间:2019-08-06
《An Approach for the Extraction of Thermal Facial Signatures for Evaluating Threat and Challenge Emotional States》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、ANAPPROACHFORTHEEXTRACTIONOFTHERMALFACIALSIGNATURESFOREVALUATINGTHREATANDCHALLENGEEMOTIONALSTATESDissertationSubmittedtoTheSchoolofEngineeringoftheUNIVERSITYOFDAYTONInPartialFulfillmentoftheRequirementsforTheDegreeofDoctorofPhilosophyinElectricalEngineering
2、ByNileshPowarDayton,OhioDecember,2013ANAPPROACHFORTHEEXTRACTIONOFTHERMALFACIALSIGNATURESFOREVALUATINGTHREATANDCHALLENGEEMOTIONALSTATESName:Powar,NileshAPPROVEDBY:______________________________________________VijayanK.Asari,Ph.D.RussellC.Hardie,Ph.D.Advisory
3、CommitteeChairmanCommitteememberProfessorProfessorDept.ofElectricalandComputerDept.ofElectricalandComputerEngineeringEngineering______________________________________________JohnS.Loomis,Ph.DErikBlasch,Ph.D.CommitteeMemberCommitteeMemberAssociateProfessorAi
4、rForceResearchLaboratoryDept.ofElectricalandComputerEngineering______________________________________________JohnG.Weber,Ph.D.TonyE.Saliba,Ph.D.AssociateDeanDean,SchoolofEngineeringSchoolofEngineering&WilkeDistinguishedProfessoriiABSTRACTANAPPROACHFORTHEEXT
5、RACTIONOFTHERMALFACIALSIGNATURESFOREVALUATINGTHREATANDCHALLENGEEMOTIONALSTATESName:Powar,NileshUlhasUniversityofDaytonAdvisor:Dr.VijayanK.AsariEmotionalstateassessmentofhumanshasbeentraditionallystudiedusingvariousdirectphysiologicalmeasuresandpsychological
6、self-reports.Inthisdissertation,wedemonstratethatthevariabilityinemotionalandphysiologicalstatesduringstressfulsituationscanberepresentedbyanalyzingindirectfacialdynamicsandthermo-grams.Thetwoemotionalstatesofchallengedandthreatresponsesinwhichahumanunderas
7、tressfuleventcancopeornotcope;respectivelyareinvestigated.Thisstudyusesseveralstandoffnon-invasivesensingtechnologiesincluding2Dvisible(VIS),Mid-WaveInfrared(MWIR)anda3DNearInfrared(NIR)imagingcamerastoexaminetheeffectofthermalfeaturechangesonthehumanfacefo
8、rboththreatandchallengereactions.Aiiimethodologyforaccuratelyextractingfacialfeaturesfromthermal(MWIR)sensorsandclassificationofthesesignaturesagainstpsycho-physiologicalgroundtrutharepresentedinthisdi
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