Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7045
Title: Micro-Doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems
Authors: Gürbüz, Sevgi Zübeyde
Clemente, Carmine
Balleri, Alessio
Soraghan, John J.
Keywords: [No Keywords]
Issue Date: 2017
Publisher: Inst Engineering Technology-Iet
Abstract: The potential for using micro-Doppler signatures as a basis for distinguishing between aided and unaided gaits is considered in this study for the purpose of characterising normal elderly gait and assessment of patient recovery. In particular, five different classes of mobility are considered: normal unaided walking, walking with a limp, walking using a cane or tripod, walking with a walker, and using a wheelchair. This presents a challenging classification problem as the differences in micro-Doppler for these activities can be quite slight. Within this context, the performance of four different radar and sonar systems - a 40 kHz sonar, a 5.8 GHz wireless pulsed Doppler radar mote, a 10 GHz X-band continuous wave (CW) radar, and a 24 GHz CW radar - is evaluated using a broad range of features. Performance improvements using feature selection is addressed as well as the impact on performance of sensor placement and potential occlusion due to household objects. Results show that nearly 80% correct classification can be achieved with 10 s observations from the 24 GHz CW radar, whereas 86% performance can be achieved with 5 s observations of sonar.
URI: https://doi.org/10.1049/iet-rsn.2016.0055
https://hdl.handle.net/20.500.11851/7045
ISSN: 1751-8784
1751-8792
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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