Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7466
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dc.contributor.authorErol, Barış-
dc.contributor.authorKarabacak, Cesur-
dc.contributor.authorGürbüz, Sevgi Zübeyde-
dc.contributor.authorGürbüz, Ali Cafer-
dc.date.accessioned2021-09-11T15:57:12Z-
dc.date.available2021-09-11T15:57:12Z-
dc.date.issued2014en_US
dc.identifier.citationIEEE Radar Conference - From Sensing to Information -- MAY 19-23, 2014 -- Cincinnati, OHen_US
dc.identifier.isbn978-1-4799-2035-8-
dc.identifier.issn1097-5764-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7466-
dc.description.abstractThe availability and access to real radar data collected for targets with a desired characteristic is often limited by monetary and practical resources, especially in the case of airborne radar. In such cases, the generation of accurate simulated radar data is critical to the successful design and testing of radar signal processing algorithms. In the case of human micro-Doppler research, simulations of the expected target signature are required for a wide parameter space, including height, weight, gender, range, angle and waveform. The applicability of kinematic models is limited to just walking, while the use of motion capture databases is restricted to the test subjects and scenarios recorded by a third-party. To enable the simulation of human micro-Doppler signatures at will, this work exploits the inexpensive Kinect sensor to generate human spectrograms of any motion and for any subject from skeleton tracking data. The simulated spectrograms generated are statistically compared with those generated from high quality motion capture data. It is shown that the Kinect spectrograms are of sufficient quality to be used in simulation and classification of human micro-Doppler.en_US
dc.description.sponsorshipIEEE, AESS, IEEE Signal Proc Soc, IEEE Geoscience & Remote Sensing Soc, IEEE Antennas & Propagat Soc, Antenna Measurement & Tech Assoc, Inst Navigaten_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2014 IEEE Radar Conferenceen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleSimulation of Human Micro-Doppler Signatures With Kinect Sensoren_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesIEEE Radar 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.startpage863en_US
dc.identifier.endpage868en_US
dc.authorid0000-0001-8923-0299-
dc.authorid0000-0002-6977-8801-
dc.authorid0000-0001-7487-9087-
dc.identifier.wosWOS:000346494600169en_US
dc.identifier.scopus2-s2.0-84906751144en_US
dc.institutionauthorGürbüz, Ali Cafer-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceIEEE Radar Conference - From Sensing to Informationen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
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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