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Human Activity Classification Using Vibration and Pir Sensors

dc.contributor.author Yazar, A.
dc.contributor.author Çetin, A.E.
dc.contributor.author Töreyin, B.U.
dc.contributor.authorID 19325 tr_TR
dc.contributor.other 06.03. Elektrik-Elektronik Mühendisliği
dc.contributor.other 06. Mühendislik Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2022-05-20T12:03:16Z
dc.date.accessioned 2025-09-18T12:10:31Z
dc.date.available 2022-05-20T12:03:16Z
dc.date.available 2025-09-18T12:10:31Z
dc.date.issued 2012
dc.description.abstract Fall detection is an important problem for elderly people living independently and people in need of care. In this paper, a fall detection method using seismic and passive infrared (PIR) sensors is proposed. Fast Fourier transform, mel-frequency cepstrum coefficients, and discrete wavelet transform based features are extracted for classification. Seismic signals are classified into "fall" and "not a fall" classes using support vector machines. Once a moving person is detected by the PIR sensor within a region of interest, fall is detected by fusing seismic and PIR sensor decisions. The proposed system is implemented on a standard personal computer and works in real-time. © 2012 IEEE. en_US
dc.description.publishedMonth 4
dc.identifier.citation Yazar, Ahmet; Çetin, A. Enis; Töreyin, B. Uǧur (2012). "Human activity classification using vibration and PIR sensors", 2012 20th Signal Processing and Communications Applications Conference, SIU 2012. en_US
dc.identifier.doi 10.1109/SIU.2012.6204718
dc.identifier.isbn 9781467300568
dc.identifier.scopus 2-s2.0-84863474154
dc.identifier.uri https://doi.org/10.1109/SIU.2012.6204718
dc.identifier.uri https://hdl.handle.net/123456789/11754
dc.language.iso tr en_US
dc.relation.ispartof 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings -- 2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786 en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.title Human Activity Classification Using Vibration and Pir Sensors en_US
dc.title Human activity classification using vibration and PIR sensors tr_TR
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.institutional Töreyin, Behçet Uğur
gdc.author.scopusid 57190735274
gdc.author.scopusid 57197548971
gdc.author.scopusid 9249500700
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp Yazar A., Elektrik Ve Elektronik Mühendisliǧi Bölümü, Bilkent Üniversitesi, Turkey; Çetin A.E., Elektrik Ve Elektronik Mühendisliǧi Bölümü, Bilkent Üniversitesi, Turkey; Töreyin B.U., Elektronik Ve Haberleşme Mühendisliǧi Bölümü, Çankaya Üniversitesi, Turkey en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.identifier.openalex W2011226318
gdc.openalex.fwci 0.82955993
gdc.openalex.normalizedpercentile 0.74
gdc.opencitations.count 4
gdc.plumx.crossrefcites 2
gdc.plumx.mendeley 5
gdc.plumx.scopuscites 4
gdc.scopus.citedcount 4
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