Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7045
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dc.contributor.authorGürbüz, Sevgi Zübeyde-
dc.contributor.authorClemente, Carmine-
dc.contributor.authorBalleri, Alessio-
dc.contributor.authorSoraghan, John J.-
dc.date.accessioned2021-09-11T15:45:08Z-
dc.date.available2021-09-11T15:45:08Z-
dc.date.issued2017en_US
dc.identifier.issn1751-8784-
dc.identifier.issn1751-8792-
dc.identifier.urihttps://doi.org/10.1049/iet-rsn.2016.0055-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7045-
dc.description.abstractThe 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.en_US
dc.description.sponsorshipTUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113E105]; EUEuropean Commission [PIRG-GA-2010-268276]; Engineering and Physical Sciences Research Council (EPSRC)UK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/K014307/1]; MOD University Defence Research Collaboration in Signal Processing; Engineering and Physical Sciences Research CouncilUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/K014307/1, EP/K014307/2] Funding Source: researchfishen_US
dc.description.sponsorshipThis work was supported in part by TUBITAK project no. 113E105 and EU FP7 project no. PIRG-GA-2010-268276, as well as by the Engineering and Physical Sciences Research Council (EPSRC) grant number EP/K014307/1 and the MOD University Defence Research Collaboration in Signal Processing. The authors thank Domenico Gaglione, Christos Ilioudis, Adriano Rosario Persico, Jianlin Cao, Mustafa Bugra Ozcan, Bahri Cagliyan, and Burkan Tekeli for their contributions.en_US
dc.language.isoenen_US
dc.publisherInst Engineering Technology-Ieten_US
dc.relation.ispartofIet Radar Sonar And Navigationen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject[No Keywords]en_US
dc.titleMicro-Doppler In-Home Aided and Unaided Walking Recognition With Multiple Radar and Sonar Systemsen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.volume11en_US
dc.identifier.issue1en_US
dc.identifier.startpage107en_US
dc.identifier.endpage115en_US
dc.authorid0000-0002-6665-693X-
dc.authorid0000-0001-6185-1165-
dc.identifier.wosWOS:000396438100013en_US
dc.identifier.scopus2-s2.0-85017421909en_US
dc.institutionauthorGürbüz, Sevgi Zübeyde-
dc.identifier.doi10.1049/iet-rsn.2016.0055-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
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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