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1、CHI2009~TechniquesforMobileInteractionApril7th,2009~Boston,MA,USAUnravellingSeams:ImprovingMobileGestureRecognitionwithVisualFeedbackTechniquesSvenKratzRafaelBallagasDeutscheTelekomLaboratories,NokiaResearchCenterTUBerlin,GermanyPaloAlto,CA,USAsven.kratz@telekom.detico.ballagas@nokia.co
2、mABSTRACTGesturerecognitionisemergingasanengaginginterac-tiontechniqueinmobilescenarios,andhighrecognitionratespromoteuseracceptance.Severalfactorsin
uencerecognitionratesincludingthenatureofthegesturesetandthesuitabilityofthegesturerecognitionalgorithm.Thisworkexploreshowseamfulnessing
3、esturestrokeFigure1.GesturesareperformedwiththeREXplorervisualizationa ectsrecognitionrates.Wepresentthe`detector',consistingofaNokiaN70mobilephonepack-resultsofauserevaluationofagesturerecognitionsys-agedinprotectiveshell.Toperformagesture,userstemthatshowsthatraw(seamful)visualization
4、oflow-wavethedevicethroughtheairwhileholdingtheges-turebutton.Gestureprogressisdisplayedtotheuser delitygesturestrokedatahasrecognitionratescom-onthedevicescreen.parabletonofeedback.Providing ltered(seamless)strokevisualizationtotheuser,whileretainingtheun- lteredinputdataforrecognition
5、,resultedina34.9%improvementingesturerecognitionrateoverrawstrokedata.Theresultsprovideinsightsintothebroaderde-signspaceofseamfuldesign,andidenti esareaswhere(A)(B)(C)(D)(E)seamlessnessisadvantageous.Figure2.TheREXplorergesturevocabulary.AuthorKeywordsMobilePhones,GestureRecognition,Se
6、amfulDesignInthispaper,wegiveashortoverviewofanovelinter-faceforpervasivegamesusedinthemobilepervasivegameREXplorer"[1].Thisinterfaceenablesspellcast-ACMClassificationKeywordsinginthewild"throughon-linegesturerecognition,H5.2[Informationinterfacesandpresentation]:UserIn-usingmotiondata
7、obtainedbycamera-basedmotiones-terfaces.Graphicaluserinterfaces.timation.Thegesturerecognitionalgorithmemployedusesstandardtechniques,similartothosefoundin[18,9].Themaincontributionofthisworkliesintheanal-INTRODUCTIONysisofthee ectsofvisualfeedbackonourinterface'sTheNintendoWii
