Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7345
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dc.contributor.authorKarabacak, Cesur-
dc.contributor.authorGürbüz, Sevgi Zübeyde-
dc.contributor.authorGürbüz, Ali Cafer-
dc.date.accessioned2021-09-11T15:56:32Z-
dc.date.available2021-09-11T15:56:32Z-
dc.date.issued2013en_US
dc.identifier.citation21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUSen_US
dc.identifier.isbn978-1-4673-5563-6; 978-1-4673-5562-9-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7345-
dc.description.abstractThe availability of data sets on which signal processing techniques may be tested is critical to the development of human detection, identification, and classification algorithms. However, in many cases real radar data of the desired characteristics may be expensive or difficult to obtain. In this case, synthetic or simulated data is desired. Much of the simulated data used in publications is derived from the Boulic kinematic model. But, the Boulic model is only valid for walking and is not applicable to compute the micro-Doppler signatures of other human motions. The Carnegie Mellon University motion capture library includes data from a wide range of human activities and provides the time-varying position of body parts. In this work, this video motion capture data is used to generate the radar micro-Doppler signature for many human activities. Observations about the micro-Doppler signatures computed are also shared.en_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 21St Signal Processing And Communications Applications Conference (Siu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectradaren_US
dc.subjecthuman micro-Doppleren_US
dc.subjectsimulation.en_US
dc.titleRadar Simulation of Human Micro-Doppler Signature from Video Motion Capture Dataen_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.authorid0000-0001-7487-9087-
dc.authorid0000-0001-8923-0299-
dc.identifier.wosWOS:000325005300205en_US
dc.identifier.scopus2-s2.0-84880898181en_US
dc.institutionauthorGürbüz, Ali Cafer-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference21st Signal Processing and Communications Applications Conference (SIU)en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1tr-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
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
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