Recognition of Daily and Sports Activities

Basit Öğe Kaydı
dc.contributor.authorİnanç, Nihat
dc.contributor.authorKayri, Murat
dc.contributor.authorErtuğrul, Ömer Faruk
dc.date.accessioned2020-06-25T18:29:46Z
dc.date.available2020-06-25T18:29:46Z
dc.date.issued2018
dc.departmentKırıkkale Üniversitesi
dc.descriptionIEEE International Conference on Big Data (Big Data) -- DEC 10-13, 2018 -- Seattle, WA
dc.description.abstractSince being physically inactive was reported as one of the major risk factor of mortality, classifying daily and sports activities becomes a critical task that may improve human life quality. In this paper, the daily and sports activities dataset was used in order to evaluate and validate the employed approach. In this approach, the statistical features were extracted from the histograms of the local changes in the wearable sensors logs were obtained by one-dimensional local binary patterns. Later, extracted features were classified by extreme learning machines. Results were showed that the proposed approach is enough to recognize the action type, but in order to recognize the actions, or gender, different feature extraction methods must be employed.en_US
dc.description.sponsorshipIEEE, IEEE Comp Soc, Expedia Grp, Baidu, Squirrel AI Learning, Ankura, Springeren_US
dc.identifier.citationclosedAccessen_US
dc.identifier.endpage2220en_US
dc.identifier.isbn978-1-5386-5035-6
dc.identifier.issn2639-1589
dc.identifier.scopus2-s2.0-85062628607
dc.identifier.scopusqualityN/A
dc.identifier.startpage2216en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7455
dc.identifier.wosWOS:000468499302038
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2018 Ieee International Conference On Big Data (Big Data)
dc.relation.ispartofseriesIEEE International Conference on Big Data
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDaily and sports activityen_US
dc.subjectaction recognitionen_US
dc.subjectgender recognitionen_US
dc.subjectwearable sensoren_US
dc.titleRecognition of Daily and Sports Activitiesen_US
dc.typeConference Object

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