Implementation of machine learning algorithms for gait recognition

dc.contributor.author	Kececi, A.
dc.contributor.author	Yildirak, A.
dc.contributor.author	Ozyazici, K.
dc.contributor.author	Ayluctarhan, G.
dc.contributor.author	Agbulut, O.
dc.date.accessioned	2021-01-25T19:32:34Z
dc.date.available	2021-01-25T19:32:34Z
dc.date.issued	2020
dc.identifier	10.1016/j.jestch.2020.01.005
dc.identifier.issn	Zincir, I.
dc.identifier.issn	2215-0986
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7257
dc.description.abstract	The basis of biometric authentication is that each person's physical and behavioural characteristics can be accurately defined. Many authentication techniques were developed over the years. Human gait recognition is one of these techniques. This article e
dc.language.iso	English
dc.publisher	ELSEVIER - DIVISION REED ELSEVIER INDIA PVT LTD
dc.title	Implementation of machine learning algorithms for gait recognition
dc.type	Article
dc.relation.firstpage	931
dc.relation.lastpage	937
dc.relation.volume	23
dc.relation.issue	4
dc.description.woscategory	Engineering, Multidisciplinary
dc.description.wosresearcharea	Engineering
dc.identifier.wosid	WOS:000558754000008

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