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한글 모음 및 표정 변화에 따른 안면 분석 시스템

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dc.contributor.author김현욱-
dc.contributor.author김은빈-
dc.contributor.author김수복-
dc.contributor.author이언석-
dc.date.accessioned2024-04-01T01:01:49Z-
dc.date.available2024-04-01T01:01:49Z-
dc.date.issued2023-06-
dc.identifier.issn1975-8359-
dc.identifier.issn2287-4364-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/25897-
dc.description.abstractFace deformation is caused by various causes such as facial paralysis or asymmetry. Therefore, accurate cause analysis and diagnosis are required, but CT, MRI, and Nottingham Grading System are subjective in nature and are affected by clinician proficiency and fatigue. In order to reduce the time and cost burden of patients who have to continuously visit specialized institutions for treatment, this study aims to develop a facial analysis system according to changes in Korean vowels and facial expressions. First, the coordinate value of the face landmark was extracted based on the webcam image, and then the distance value between the left and right face landmarks was calculated. In addition, quantification was performed based on the actual length of the eyes and lips and the results of the system derivation, and the final system analysis results could be checked with figures and charts.-
dc.format.extent9-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한전기학회-
dc.title한글 모음 및 표정 변화에 따른 안면 분석 시스템-
dc.title.alternativeA Facial Analysis System with Korean Vowels and Facial Expressions Change-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation전기학회논문지, v.72, no.6, pp 785 - 793-
dc.citation.title전기학회논문지-
dc.citation.volume72-
dc.citation.number6-
dc.citation.startPage785-
dc.citation.endPage793-
dc.identifier.kciidART002964930-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorFacial Asymmetry-
dc.subject.keywordAuthorBell Palsy-
dc.subject.keywordAuthorFacial Analysis-
dc.subject.keywordAuthorFacial disorder-
dc.subject.keywordAuthorFace Landmark-
dc.subject.keywordAuthorKorean Vowels-
dc.subject.keywordAuthorMouth Shape-
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