Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6339
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKarabacak, Cesur-
dc.contributor.authorGürbüz, Sevgi Zübeyde-
dc.contributor.authorGürbüz, Ali Cafer-
dc.date.accessioned2021-09-11T15:35:54Z-
dc.date.available2021-09-11T15:35:54Z-
dc.date.issued2014en_US
dc.identifier.citation22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEYen_US
dc.identifier.isbn978-1-4799-4874-1-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6339-
dc.description.abstractDeveloping automatic target classification algorithms using radar is a widely researched topic in recent years. Among the targets classified in these algorithms, the most studied is humans. Classification of humans with high accuracy is very significant for many military and civil applications. Moreover, in these studies, besides the classification of human target, activities are also analyzed. Knowledge of the activity a person is engaged in can substantially change the alarm level in some applications. In this paper, an algorithm that automatically classifies walking, running, crawling, and creeping using radar is presented.en_US
dc.description.sponsorshipIEEE, Karadeniz Tech Univ, Dept Comp Engn & Elect & Elect Engnen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2014 22Nd Signal Processing And Communications Applications Conference (Siu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjecthuman activity classificationen_US
dc.subjectradaren_US
dc.subjectmicro-Doppleren_US
dc.subjectmotion capture (MOCAP)en_US
dc.titleAutomatic Human Activity Classification Using Radaren_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conferenceen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.startpage1051en_US
dc.identifier.endpage1054en_US
dc.authorid0000-0001-8923-0299-
dc.authorid0000-0001-7487-9087-
dc.identifier.wosWOS:000356351400242en_US
dc.identifier.scopus2-s2.0-84903766310en_US
dc.institutionauthorGürbüz, Ali Cafer-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference22nd IEEE Signal Processing and Communications Applications Conference (SIU)en_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1tr-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.grantfulltextnone-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

WEB OF SCIENCETM
Citations

1
checked on Apr 13, 2024

Page view(s)

30
checked on Apr 22, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.