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1、RecognitionandInterpretationofParametricGestureAndrewD.WilsonAaronF.BobickVisionandModelingGroupMITMediaLaboratory20AmesSt.,Cambridge,MA02139(drew,bobick@media.mit.edu)AbstractAnewmethodfortherepresentation,recognition,andinterpretationofparameterizedgestur
2、eispre-sented.Byparameterizedgesturewemeangesturesthatexhibitameaningfulvariation;oneexampleisapointgesturewheretheimportantparameteristhe%dimensionaldirection.OurapproachistoextendthestandardhiddenMarkovmodelmethodofgesturerecognitionbyincludingaglobalpara
3、metricvariationintheoutputprobabilitiesofthestatesoftheHMM.Usingalinearmodeltoderivethetheory,weformulateanexpectation-maximization(EM)methodfortrain-ingtheparametricHMM.Duringtesting,theparamet-ricHMMsimultaneouslyrecognizesthegestureandestimatesthequantif
4、yingparameters.Usingvisually-FigureThegesturethataccompaniesthespeech“Iderivedanddirectlymeasured$-dimensionalhandsitionmeasurementsasinput,wepresentresultsoncaughtafish,Itthisbig.”Initsentirety,thegesturetwodifferent-asizegestureandapointconsistsofaprepara
5、tionphaseinwhichthehandsaregesture-andshowrobustnesswithrespecttonoisebroughtintothegesturespace,astrokephase(depictedintheinputfeatures.bytheillustration)whichco-occurswiththeword“this”andfinallyaretractionbacktotherest-state(handsdown1Introductionandrelax
6、ed).ThedistancebetweenthehandsconveystheCurrentapproachestotherecognitionofhumansizeofthefish.movementworkbymatchinganincomingsignaltoasetofrepresentationsofprototypesequences.Forexample,agesturerecognitionsystemmightmatchasequenceofhandpositionsovertimetoa
7、numberofManyhandgesturesthataccompanyspeechmaybeconsideredparameterizedmovements.Aswiththeprototypegesturesequences,eachofwhicharelearnedfromsomenumberofexamples.To,handlevariations“fish”example,handgesturesareoftenusedindi-intemporalbehavior,thematchistypi
8、callycomputedalogtoconveysomequantitythatotherwisecannotusingsomeformofdynamictimewarping(DTW).Ifbedeterminedfromthespeechalone.Parameterizedtheprototypeisdescribedbystatisticaltendencies,movementsarea
