Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7344
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Erol, Barış | - |
dc.contributor.author | Karabacak, Cesur | - |
dc.contributor.author | Gürbüz, Sevgi Zübeyde | - |
dc.contributor.author | Gürbüz, Ali Cafer | - |
dc.date.accessioned | 2021-09-11T15:56:31Z | - |
dc.date.available | 2021-09-11T15:56:31Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | 22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY | en_US |
dc.identifier.isbn | 978-1-4799-4874-1 | - |
dc.identifier.issn | 2165-0608 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/7344 | - |
dc.description.abstract | The classification of different human activities with radar has been a widely researched topic in recent years. Oftentimes, when no experimental data is available, simulated data can be exploited to test classification algorithms. Kinematic models such as the Thalmann Model and motion capture (MOCAP) data are frequently used to simulate radar signatures of human movements. While the Thalmann Model provides a model only for human walking, MOCAP data has the capability to supply data for almost any type of human activity. However, most commercial MOCAP data acquisition systems are quite expensive, making it difficult to obtain MOCAP data. In this paper, economical, easily obtainable and practical Kinect sensor is used to develop a skeleton tracking algorithm. In this way, simulated radar micro-Doppler signatures for different people and activities are computed. | en_US |
dc.description.sponsorship | IEEE, Karadeniz Tech Univ, Dept Comp Engn & Elect & Elect Engn | en_US |
dc.language.iso | tr | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2014 22Nd Signal Processing And Communications Applications Conference (Siu) | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | radar | en_US |
dc.subject | human | en_US |
dc.subject | micro-Doppler | en_US |
dc.subject | simulation | en_US |
dc.subject | Kinect | en_US |
dc.title | Radar Simulation of Different Human Activities Via Kinect | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.identifier.startpage | 1015 | en_US |
dc.identifier.endpage | 1018 | en_US |
dc.authorid | 0000-0002-6977-8801 | - |
dc.authorid | 0000-0001-8923-0299 | - |
dc.authorid | 0000-0001-7487-9087 | - |
dc.identifier.wos | WOS:000356351400233 | en_US |
dc.identifier.scopus | 2-s2.0-84903766486 | en_US |
dc.institutionauthor | Gürbüz, Ali Cafer | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | 22nd IEEE Signal Processing and Communications Applications Conference (SIU) | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | tr | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
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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