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刘光远的学术论文(部分)

发表时间:2024-09-08 13:27:49 来源:网友投稿

(1)enWanHui,QiuYuiHui,LiuGuangYuan*,ChengNanPu,HuangXiTing.Constructionandcross-correlationanalysisoftheaffectivephysiologicalresponsedatabase.ScienceChina:InformationSciences,2010,53(9):1774-1784.(2)XuYa,LiuGuangYuan*,HaoMin,WenWanHui,HuangXiTing.AnalysisofAffectiveECGSignalstowardEmotionRecognition.JournalofElectronics,2010,27(1):8-14.(3)ChengJing,LiuGuangyuan*,YangZhaofang.ConstructionofHuman-ComputerAffectiveInteractionAssistant.AdvancesinInformationSciencesandServiceSciences,4(17),83-90,2012.(EI检索)(4)温万惠,邱玉辉,刘光远*,程南璞,黄希庭。情感生理反应样本库的建立与数据相关性分析。中国科学:信息科学,2011,41(1):77-89。(5)熊勰,刘光远*,温万惠.基于智能算法的生理信号情感识别,计算机科学,2011,38(3):pp266-268.(6)郝敏,刘光远*.基于进化策略的生理信号情感识别[J].智能系统学报,2009,4(4):352-356.(7)程静,刘光远*.学科交叉视角下的情感识别研究进展.计算机科学,39(5),19-24,2012(8)陈红,刘光远*,赖祥伟.相关性分析和最大最小蚁群算法用于脉搏信号的情感识别[J].计算机科学,2012.39(4):250-253(9)曹军,刘光远*,赖祥伟.量子粒子群和相关性分析在心电特征选择中的应用[J].计算机科学,2012.39(3):209-211(10)张洪强,刘光远*,赖祥伟.随机森林算法在肌电的重要特征中选择中的应用[J].计算机科学,2013.40(1):200-202(11)杨敏,刘光远*,温万慧.两类情感状态下心电与HRV信号的非线性分析[J].计算机应用,2012.32(10):2963-2965(12)JieWEI,GuangyuanLIU*,WanhuiWEN.Dynamicalmodelsoflovewiththedecayoftheappeal.Appl.Math.Comput.(Underreview.)(13)LiuFengru,LiuGuangyuan*,LaiXiangwei,WenWanhui.Themodelabouttheaffectionregulationbasedonpartialleastregressioninthehuman-computerinteraction.InProceedingsofthe2012InternationalConferenceonNaturalComputation,Chongqing,2012,1:1060-1063.(EICompendexindexed,No.20123815448819)(14)HongChen,GuangyuanLiu*,XieXiong.ANovelFeatureSelectionMethodforAffectiveRecognitionBasedonPulseSignal[C].2011FourthInternationalSymposiumonComputationalIntelligenceandDesign(ISCID2011).vol.I,Oct.2011,pp.110-113.(IndexedbyEIandISTP).(15)HongQiu,GuangyuanLiu*,FengruLiu.AffectiverecognitionfromEMGsignal:AnapproachbasedoncorrelationanalysisandadaptiveTabuSearch[C].The2011InternationalConferenceonMechatronicScience,ElectricEngineeringandComputer,V.10,pp.913-916,2011.08.(16)FengruLiu,GuangyuanLiu*,XiangweiLai,WanhuiWen.ThemodelabouttheaffectionregulationbasedonpartialleastregressionintheHuman-computerinteraction[C],20128thInternationalConferenceonNaturalComputation(ICNC2012).May.2012.pp.1060-1063.(17)BiyingLiu,GuangyuanLiu*,ZhaofangYang.AnalysisofAffectiveStatefromGalvanicSkinResponseUsingCorrelationDimensionandEmbeddingDimension[C],2012FifthInternationalSymposiumonComputationalIntelligenceandDesign.vol.I,Oct.2012.pp.7-10.(18)ZhengjiLong,GuangyuanLiu*andXuewuDai.”ExtractingEmotionalFeaturesfromECGbyUsingWaveletTransform”,ProceedingofthefirstInternationalConferenceonBiomedicalEngineeringandComputerScience(ICBECS2010),P404-407,2010.(19)GuanghuaWu,GuangyuanLiu*,MinHao.TheanalysisofemotionrecognitionfromGSRbasedonPSO.The2010InternationalSymposiumonIntelligenceInformationProcessingandTrustedComputing(IPTC2010).(20)HuilingZhang,GuangyuanLiu*.ResearchofEmotionRecognitionBasedonPulseSignal.ProceedingsofIEEEInternationalConferenceonAdvancedComputerTheoryandEngineering,vol.3,Aug.2010,pp.506-509(21)WenWanHui,QiuYuiHui,LiuGuangYuan*.ElectrocardiographyRecording,FeatureExtractionandClassificationforEmotionRecognition.InProceedingsofthe2009WorldCongressonComputerScienceandInformationEngineering,LosAngeles,CA,2009,4:168-172.(EICompendexindexed,No.20094712464745)(22)XUYa,LIUGuang-Yuan*,“AmethodofemotionrecognitionbasedonECGsignal,”proceedingofthe2009internationalconferenceoncomputationalintelligenceandnaturalcomputing(CINC’09),IEEEcomputersociety,2009,pp.202-205.(23)MAChang-Wei,LIUGuang-Yuan*,”featureextraction,featureselectionandclassificationfromelectrocardiographytoemotions,”proceedingofthe2009internationalconferenceoncomputationalintelligenceandnaturalcomputing(CINC’09),IEEEcomputersociety,2009,pp.190-193.(24)LIUGuang-Yuan,HAOMin,“emotionrecognitionofphysiologicalsignalsbasedonadaptivehierarchicalgeneticalgorithm,”proceedingofthe2009WRIworldcongressoncomputerscienceandinformationengineering(CSIE’09),IEEEcomputersociety,LosAngeles,CaliforniaUSA,2009,pp.670-674.(25)WENWan-Hui,QIUYu-Hui,LIUGuang-Yuan*,”electrocardiographyrecording,featureextractionandclassificationforemotionrecognition,”proceedingofthe2009WRIworldcongressoncomputerscienceandinformationengineering(CSIE’09),IEEEcomputersociety,LosAngeles,CaliforniaUSA,2009,pp.168-172

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