Classification of leg motions by processing gyroscope signals

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dc.citation.epage352en_US
dc.citation.spage349en_US
dc.contributor.authorTunçel, Orkunen_US
dc.contributor.authorAltun, Keremen_US
dc.contributor.authorBarshan, Billuren_US
dc.coverage.spatialAntalya, Turkeyen_US
dc.date.accessioned2016-02-08T12:28:05Z
dc.date.available2016-02-08T12:28:05Z
dc.date.issued2009en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 9-11 April 2009en_US
dc.descriptionConference Name: IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009en_US
dc.description.abstractIn this study, eight different leg motions are classified using two single-axis gyroscopes mounted on the right leg of a subject with the help of several pattern recognition techniques. The methods of least squares, Bayesian decision, k-nearest neighbor, dynamic time warping, artificial neural networks and support vector machines are used for classification and their performances are compared. This study comprises the preliminary work for our future studies on motion recognition with a much wider scope.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:28:05Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2009en
dc.identifier.doi10.1109/SIU.2009.5136404en_US
dc.identifier.urihttp://hdl.handle.net/11693/28726
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2009.5136404en_US
dc.source.titleProceedings of the IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009en_US
dc.subjectArtificial neural networken_US
dc.subjectBayesian decisionen_US
dc.subjectDynamic time warpingen_US
dc.subjectK-nearest neighborsen_US
dc.subjectLeast squareen_US
dc.subjectMotion recognitionen_US
dc.subjectSingle-axisen_US
dc.subjectBayesian networksen_US
dc.subjectGyroscopesen_US
dc.subjectNeural networksen_US
dc.subjectPattern recognitionen_US
dc.titleClassification of leg motions by processing gyroscope signalsen_US
dc.title.alternativeJiroskop sinyallerinin işlenmesiyle bacak hareketlerinin sınıflandırılmasıen_US
dc.typeConference Paperen_US

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