Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6709
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dc.contributor.authorGürbüz, Sevgi Zübeyde-
dc.contributor.authorTekeli, Bürkan-
dc.contributor.authorKarabacak, Cesur-
dc.contributor.authorYüksel, Melda-
dc.date.accessioned2021-09-11T15:43:16Z-
dc.date.available2021-09-11T15:43:16Z-
dc.date.issued2013en_US
dc.identifier.citationIEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS) -- OCT 21-23, 2013 -- Tel Aviv, ISRAELen_US
dc.identifier.isbn978-1-4673-5756-2-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6709-
dc.description.abstractDozens of features have been proposed for the use in a variety of human micro-Doppler classification problems, such as activity classification, target identification, and arm swing detection. However, the issues of how many features are truly required, which features should be selected, and whether or how this selection will vary depending upon human activity has not yet been rigorously addressed in the context of human micro-Doppler analysis. Moreover, most classification results are present for the case when the human directly walks towards or away from the radar. As the aspect angle between target and antenna increases, the observed micro-Doppler spread diminishes, leading to increasingly poor feature estimates. Thus, there is also a question of how features should be selected by taking into consideration estimate quality. This work examines the application of information theory to shed light on these questions. Mutual information is used to compute the contribution of features as a function of physical relevance and estimate quality. An importance ranking of features is derived, with results shown for arm swing detection and discrimination of walking from running.en_US
dc.description.sponsorshipIEEEen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 IEEE International Conference On Microwaves, Communications, Antennas And Electronics Systems (IEEE Comcas 2013)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjecthuman micro-Doppleren_US
dc.subjectfeature selectionen_US
dc.subjectclassificationen_US
dc.subjectmultistatic radaren_US
dc.subjectradar networken_US
dc.titleFeature Selection for Classification of Human Micro-Doppleren_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.authorid0000-0001-7487-9087-
dc.authorid0000-0002-8029-631X-
dc.identifier.wosWOS:000330240700095en_US
dc.identifier.scopus2-s2.0-84893260991en_US
dc.institutionauthorGürbüz, Sevgi Zübeyde-
dc.institutionauthorTekeli, Bürkan-
dc.institutionauthorKarabacak, Cesur-
dc.institutionauthorYüksel, Melda-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceIEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.languageiso639-1en-
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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