Hand Gesture Recognition Based on Combined Features Extraction 热度: Face recognition using part-based dense sampling local features 热度: HandGestureRecognitionusingMulti-ScaleColourFeatures,Hierarchical ModelsandParticleFiltering LarsBretznerIvanLaptevTonyLindeberg ...
Rabiner L R. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition (30s) 热度: A Tutorial On Hidden Markov Models And Selected Applications In Speech Recognition(2).pdf 热度: Hand Gesture Recognition using Input–Output Hidden Markov Models ...
Vision-based Hand Gesture Recognition for Human-Computer Interaction pdf
Hand gesture recognition is a popular topic in computer vision and makes human-computer interaction more flexible and convenient. The representation of hand gestures is critical for recognition. In this paper, we propose a new method to measure the simil
Keywords: Hand gesture recognition; Hidden Markov model; Hand tracking 1. Introduction Hand gesture has been one of the most common and natural communication media among human being. Hand gesture recognition research has gained a lot of attentions because of its applications for interactive human-...
This paper introduces an enormous dataset, HaGRID (HAnd Gesture Recognition Image Dataset), to build a hand gesture recognition (HGR) system concentrating on interaction with devices to manage them. That is why all 18 chosen gestures are endowed with the semiotic function and can be interpreted ...
Vision-based Hand Gesture Recognition for Human-Computer Interaction pdf As computers become more pervasive in society, facilitating natural human鈥揷omputer interaction (HCI) will have a positive impact on their use. Hence, the... 被引量: 0发表: 0年 Visual interpretation of hand gestures for ...
实验结果表明,文中方法能够支持复杂手势的实时识别. 关键词:手势识别;RGB—D;轮廓模型;标本标记;姿态估计 中图法分类号:TP319 HandPart andGesture fromRGB—DData Labeling Recognition Yao Wenba01’ Yuanl’∞,ZhangLinjian”,andQiao 1’(RnpfdMn雄l以f￡“rF z00444) E理gf雄PPrfngC￡n￡er,S^口ng...
thestudentscannottrainthesystem.Thereforepersonindependentrecognitionhastobeperformedbyusingapre-assembledgesturedataset.Althoughmanysystemshavebeendevelopedthattrainandrecognizethesameperson,fewresearchisdoneonpersonindependentgesturerecognition.Inthispaperwepresentthreedifferentvisualgesturerecognitionsystems,andcomparetheir...
United States Patent US9128603 Note: If you have problems viewing the PDF, please make sure you have the latest version ofAdobe Acrobat. Back to full text