Please use this identifier to cite or link to this item: http://sutir.sut.ac.th:8080/jspui/handle/123456789/7709
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dc.contributor.authorHanghan Liang-
dc.date.accessioned2019-02-06T03:59:51Z-
dc.date.available2019-02-06T03:59:51Z-
dc.date.issued2017-
dc.identifier.urihttp://sutir.sut.ac.th:8080/jspui/handle/123456789/7709-
dc.format.extent8146350 bytes-
dc.format.extent2920303 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherSchool of Telecommunication Engineering Institute of Engineering Suranaree University of Technologyen
dc.subjectFalls (Accidents)en
dc.subjectSupport vector machinesen
dc.subjectDetectorsen
dc.titleFall detection using wavelet transform and support vector machineen
dc.title.alternativeการตรวจจับการหกล้มด้วยการแปลงเวฟเล็ตและซับพอร์ตเวคเตอร์แมชชีนen
dc.typeThesisen
dc.degree.nameMaster of Engineering-
dc.degree.levelMaster's Degree-
dc.degree.disciplineTelecommunication Engineering-
dc.degree.grantorSuranaree University of Technology-
Appears in Collections:วิทยานิพนธ์ (Thesis)

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