Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7466
Title: Simulation of Human Micro-Doppler Signatures with Kinect Sensor
Authors: Erol, Barış
Karabacak, Cesur
Gürbüz, Sevgi Zübeyde
Gürbüz, Ali Cafer
Keywords: [No Keywords]
Issue Date: 2014
Publisher: IEEE
Source: IEEE Radar Conference - From Sensing to Information -- MAY 19-23, 2014 -- Cincinnati, OH
Series/Report no.: IEEE Radar Conference
Abstract: The 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.
URI: https://hdl.handle.net/20.500.11851/7466
ISBN: 978-1-4799-2035-8
ISSN: 1097-5764
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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