Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7045
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gürbüz, Sevgi Zübeyde | - |
dc.contributor.author | Clemente, Carmine | - |
dc.contributor.author | Balleri, Alessio | - |
dc.contributor.author | Soraghan, John J. | - |
dc.date.accessioned | 2021-09-11T15:45:08Z | - |
dc.date.available | 2021-09-11T15:45:08Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.issn | 1751-8784 | - |
dc.identifier.issn | 1751-8792 | - |
dc.identifier.uri | https://doi.org/10.1049/iet-rsn.2016.0055 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/7045 | - |
dc.description.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. | en_US |
dc.description.sponsorship | TUBITAKTurkiye 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: researchfish | en_US |
dc.description.sponsorship | This 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.iso | en | en_US |
dc.publisher | Inst Engineering Technology-Iet | en_US |
dc.relation.ispartof | Iet Radar Sonar And Navigation | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | [No Keywords] | en_US |
dc.title | Micro-Doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 11 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.startpage | 107 | en_US |
dc.identifier.endpage | 115 | en_US |
dc.authorid | 0000-0002-6665-693X | - |
dc.authorid | 0000-0001-6185-1165 | - |
dc.identifier.wos | WOS:000396438100013 | en_US |
dc.identifier.scopus | 2-s2.0-85017421909 | en_US |
dc.institutionauthor | Gürbüz, Sevgi Zübeyde | - |
dc.identifier.doi | 10.1049/iet-rsn.2016.0055 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q2 | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
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 |
CORE Recommender
SCOPUSTM
Citations
52
checked on Sep 7, 2024
WEB OF SCIENCETM
Citations
73
checked on Sep 7, 2024
Page view(s)
24
checked on Sep 9, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.