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基于ARM的手套机控制器设计.docx

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基于ARM的手套机控制器设计 Title:DesignofanARM-BasedGloveControllerforHandGestureRecognition Abstract: Inrecentyears,gesturerecognitionhasgainedsignificantattentionasameansofhuman-computerinteraction.Theabilitytocontroldevicesthroughhandgesturescangreatlyenhanceuserexperienceandusability.ThispaperpresentsthedesignofaglovecontrollerbasedontheARMarchitectureforhandgesturerecognition.Theglovecontrollercaptureshandmovementsandtranslatesthemintocommandsthatcanbeusedtocontrolvariousdevicesandapplications.TheproposeddesignleveragesthepowerofARMprocessorstoprovidereal-timegesturerecognitionwithhighaccuracyandreliability.Thesystemiscapableofrecognizingawiderangeofhandgesturesandcanbeeasilyintegratedintoexistingsystemsorusedasastandalonedevice.Thispaperprovidesanin-depthlookintothedesignandimplementationoftheARM-basedglovecontroller,highlightingitsfeatures,advantages,andpotentialapplications. 1.Introduction 2.BackgroundandRelatedWork 3.SystemOverview 3.1HardwareDesign 3.1.1ARMProcessorSelection 3.1.2SensorIntegration 3.1.3GloveDesign 3.2SoftwareDesign 3.2.1GestureRecognitionAlgorithm 3.2.2UserInterface 4.GestureRecognitionTechniques 4.1HandTracking 4.2FeatureExtraction 4.3GestureClassification 5.ImplementationDetails 5.1HardwareImplementation 5.2SoftwareImplementation 6.PerformanceEvaluation 6.1AccuracyAssessment 6.2LatencyAnalysis 7.ApplicationsandFutureWork 8.Conclusion 1.Introduction Gesturerecognitionhasbecomeanimportantresearchfieldduetoitspotentialapplicationsinhuman-computerinteraction.Handgesturescanconveymeaningfulinformationandcanbeusedasinputforcontrollingdevicesorapplications.Traditionalinputdevicessuchaskeyboardsandmicehavelimitationsintermsofintuitiveandnaturalinteraction.Handgesturerecognitionprovidesamorenaturalanduser-friendlyalternative. 2.BackgroundandRelatedWork Thissectionprovidesanoverviewofpreviousstudiesrelatedtogesturerecognition,includingdifferenttechniquesandalgorithmsusedforhandtrackingandfeatureextraction.Variousapproacheshavebeenexplored,includingvision-base