Hand Gesture Recognition From Kinect Depth Images

dc.contributor.author	Yeloglu, Zeynep
dc.contributor.author	Akbulut, Yaman
dc.contributor.author	Budak, Umit
dc.contributor.author	Sengur, Abdulkadir
dc.date.accessioned	2021-12-16T09:07:56Z
dc.date.available	2021-12-16T09:07:56Z
dc.date.issued	2015
dc.identifier.isbn	978-1-4673-7386-9
dc.identifier.issn	2165-0608
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10563
dc.description.abstract	In this study, hand gesture classification method based on depth images is proposed. The proposed method is composed of thresholding, feature extraction, feature selection and classification stages. Hand segmentation on the depth images is carried out bas
dc.language.iso	Turkish
dc.publisher	Ieee
dc.relation.ispartof	23nd Signal Processing and Communications Applications Conference (SIU)
dc.source	2015 23Rd Sıgnal Processıng And Communıcatıons Applıcatıons Conference (Sıu)
dc.title	Hand Gesture Recognition From Kinect Depth Images
dc.type	Proceedings Paper
dc.identifier.startpage	628
dc.identifier.endpage	631
dc.identifier.wos	WOS:000380500900135

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