Sevgi Z. Gurbuz
Sevgi Z. Gurbuz
University of Alabama at Tuscaloosa
Verified email at - Homepage
Cited by
Cited by
A wearable haptic navigation guidance system
S Ertan, C Lee, A Willets, H Tan, A Pentland
Digest of Papers. Second International Symposium on Wearable Computers (Cat …, 1998
Detection and identification of human targets in radar data
SZ Gürbüz, WL Melvin, DB Williams
Signal Processing, Sensor Fusion, and Target Recognition XVI 6567, 65670I, 2007
Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities
MS Seyfioğlu, AM Özbayoğlu, SZ Gürbüz
IEEE Transactions on Aerospace and Electronic Systems 54 (4), 1709-1723, 2018
A short survey of hyperspectral remote sensing applications in agriculture
M Teke, HS Deveci, O Haliloğlu, SZ Gürbüz, U Sakarya
2013 6th International Conference on Recent Advances in Space Technologies …, 2013
Micro-Doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems
SZ Gurbuz, C Clemente, A Balleri, JJ Soraghan
IET Radar, Sonar & Navigation 11 (1), 107-115, 2016
Operational assessment and adaptive selection of micro-Doppler features
SZ Gürbüz, B Erol, B Çağlıyan, B Tekeli
IET Radar, Sonar & Navigation 9 (9), 1196-1204, 2015
A kinect-based human micro-doppler simulator
B Erol, SZ Gurbuz
IEEE Aerospace and Electronic Systems Magazine 30 (5), 6-17, 2015
Knowledge exploitation for human micro-Doppler classification
C Karabacak, SZ Gurbuz, AC Gurbuz, MB Guldogan, G Hendeby, ...
IEEE Geoscience and Remote Sensing Letters 12 (10), 2125-2129, 2015
Information-theoretic feature selection for human micro-Doppler signature classification
B Tekeli, SZ Gurbuz, M Yuksel
IEEE Transactions on Geoscience and Remote Sensing 54 (5), 2749-2762, 2016
Deep neural network initialization methods for micro-Doppler classification with low training sample support
MS Seyfioğlu, SZ Gürbüz
IEEE Geoscience and Remote Sensing Letters 14 (12), 2462-2466, 2017
Deep learning of micro-Doppler features for aided and unaided gait recognition
MS Seyfioğlu, SZ Gürbüz, AM Özbayoğlu, M Yüksel
2017 IEEE Radar Conference (RadarConf), 1125-1130, 2017
Feature diversity for optimized human micro-Doppler classification using multistatic radar
F Fioranelli, M Ritchie, SZ Gürbüz, H Griffiths
IEEE Transactions on Aerospace and Electronic Systems 53 (2), 640-654, 2017
Micro-Doppler-based human activity classification using the mote-scale BumbleBee radar
B Çağlıyan, SZ Gürbüz
IEEE Geoscience and Remote Sensing Letters 12 (10), 2135-2139, 2015
Comparison of radar-based human detection techniques
SZ Gurbuz, WL Melvin, DB Williams
2007 Conference Record of the Forty-First Asilomar Conference on Signals …, 2007
Radar-based human-motion recognition with deep learning: Promising applications for indoor monitoring
SZ Gurbuz, MG Amin
IEEE Signal Processing Magazine 36 (4), 16-28, 2019
Importance ranking of features for human micro-Doppler classification with a radar network
SZ Gürbüz, B Tekeli, M Yüksel, C Karabacak, AC Gürbüz, MB Guldogan
Proceedings of the 16th International Conference on Information Fusion, 610-616, 2013
Automatic data-driven frequency-warped cepstral feature design for micro-Doppler classification
B Erol, MG Amin, SZ Gurbuz
IEEE Transactions on Aerospace and Electronic Systems 54 (4), 1724-1738, 2018
Classification of human micro-Doppler in a radar network
B Tekeli, SZ Gürbüz, M Yüksel, AC Gürbüz, MB Guldogan
2013 IEEE Radar Conference (RadarCon13), 1-6, 2013
A nonlinear-phase model-based human detector for radar
SZ Gurbuz, WL Melvin, DB Williams
IEEE Transactions on Aerospace and Electronic Systems 47 (4), 2502-2513, 2011
Radar simulation of human micro-Doppler signature from video motion capture data
C Karabacak, SZ Gürbüz, AC Gürbüz
2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013
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