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https://hdl.handle.net/20.500.11851/6339
Title: | Automatic Human Activity Classification Using Radar | Authors: | Karabacak, Cesur Gürbüz, Sevgi Zübeyde Gürbüz, Ali Cafer |
Keywords: | human activity classification radar micro-Doppler motion capture (MOCAP) |
Publisher: | IEEE | Source: | 22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY | Series/Report no.: | Signal Processing and Communications Applications Conference | Abstract: | Developing 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. | URI: | https://hdl.handle.net/20.500.11851/6339 | ISBN: | 978-1-4799-4874-1 | ISSN: | 2165-0608 |
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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