基于特征提取的手势识别技术研究.docx

基于特征提取的手势识别技术研究
摘要
手势识别技术已被广泛应用于人机交互、安防等领域，具有很大的应用前景。本文研究了基于特征提取的手势识别技术，主要涉及手势数据采集、预处理、特征提取、分类等方面。实验结果表明，本文提出的手势识别方法能够有效地提高分类精度，为手势识别技术的发展提供了重要的理论支持。
关键词：手势识别、特征提取、分类
Abstract
Gesturerecognitiontechnologyhasbeenwidelyusedinhuman-computerinteraction,securityandotherfieldswithgreatapplicationprospects.Thispaperstudiesthegesturerecognitiontechnologybasedonfeatureextraction,mainlyinvolvinggesturedataacquisition,preprocessing,featureextraction,classificationandotheraspects.Theexperimentalresultsshowthatthegesturerecognitionmethodproposedinthispapercaneffectivelyimprovetheclassificationaccuracy,providingimportanttheoreticalsupportforthedevelopmentofgesturerecognitiontechnology.
Keywords:gesturerecognition,featureextraction,classification
1.Introduction
Handgesturerecognitionisahottopicinthefieldofcomputervisionandhasattractedalotofattentioninrecentyears.Comparedwithtraditionalinteractivedevicessuchasmouseandkeyboard,handgesturerecognitiontechnologycanprovideamorenatural,intuitiveandefficienthuman-computerinteractionmethod.Therefore,ithasbecomeanimportantresearchfieldincomputervisionandartificialintelligence.
Gesturerecognitiontechnologycangenerallybedividedintotwocategories:model-basedandfeature-based.Model-basedmethodsuseamathematicalmodeltosimulatethehandanditsmovements,andthenusethemodeltorecognizethegestures.Feature-basedmethods,ontheotherhand,extractfeaturesfromthegesturedataandusethefeaturestorecognizegestures.Comparedwithmodel-basedmethods,feature-basedmethodshaveasimpleralgorithmandfasterprocessingspeed.
Inthispaper,wewillmainlystudythefeature-basedhandgesturerecognitiontechnology,whichincludesdataacquisition,preprocessing,featureextractionandclassification.
2.Dataacquisition
Dataacquisitionisthefirststepingesturerecognitiontechnology.Itisnecessarytoobtainreliableandhigh-qualitygesturedataforsubsequentprocessing.
Dataacquisitioncanbedividedintotwotypes:dataacquisitionthroughhardwaredevicesordataacquisitionthroughcomputervision.Theformerrequirestheuseofspecialhardw