A data mining approach for fall detection by using k-nearest neighbour algorithm on wireless sensor network data

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dc.contributor.authorErdogan, S. Z.
dc.contributor.authorBilgin, T. T.
dc.date.accessioned2024-07-12T21:47:26Z
dc.date.available2024-07-12T21:47:26Z
dc.date.issued2012en_US
dc.departmentMaltepe Üniversitesien_US
dc.description.abstractFall detection technology is critical for the elderly people. In order to avoid the need of full time care giving service, the actual trend is to encourage elderly to stay living autonomously in their homes as long as possible. Reliable fall detection methods can enhance life safety of the elderly and boost their confidence by immediately alerting fall cases to caregivers. This study presents an algorithm of fall detection, which detects fall events by using data-mining approach. The authors' proposed method performs detection in two steps. First, it collects the wireless sensor network (WSN) data in stream format from sensor devices. Second, it uses k-nearest neighbour algorithm, that is, well-known lazy learning algorithm to detect fall occurrences. It detects falls by identifying the fall patterns in the data stream. Experiments show that the proposed method has promising results on WSN data stream in detecting falls.en_US
dc.identifier.doi10.1049/iet-com.2011.0228
dc.identifier.endpage3287en_US
dc.identifier.issn1751-8628
dc.identifier.issn1751-8636
dc.identifier.issue18en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage3281en_US
dc.identifier.urihttps://dx.doi.org/10.1049/iet-com.2011.0228
dc.identifier.urihttps://hdl.handle.net/20.500.12415/8043
dc.identifier.volume6en_US
dc.identifier.wosWOS:000318226500027en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Science
dc.language.isoenen_US
dc.publisherINST ENGINEERING TECHNOLOGY-IETen_US
dc.relation.ispartofIET COMMUNICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY01218
dc.titleA data mining approach for fall detection by using k-nearest neighbour algorithm on wireless sensor network dataen_US
dc.typeArticle
dspace.entity.typePublication

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