Please use this identifier to cite or link to this item: 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)
Issue Date: 2014
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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