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레벨 셋 기반의 깊이 카메라를 이용한 호흡수 측정

DC FieldValueLanguage
dc.contributor.author김정민-
dc.contributor.author신증수-
dc.contributor.author오경택-
dc.contributor.author유선국-
dc.date.accessioned2018-07-20T08:13:21Z-
dc.date.available2018-07-20T08:13:21Z-
dc.date.issued2017-
dc.identifier.issn1229-7771-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/160986-
dc.description.abstractIn this paper, we propose a method to measure respiration rate by dividing the respiration related region in depth image using level set method. In the conventional method, the respiration related region was separated using the pre-defined region designated by the user. We separate the respiration related region using level set method combining shape prior knowledge. Median filter and clipping are performed as a preprocessing method for noise reduction in the depth image. As a feasibility test, respiration activity was recorded using depth camera in various environments with arm movements or body movements during breathing. Respiration activity was also measured simultaneously using a chest belt to verify the accuracy of calculated respiration rate. Experimental results show that our proposed method shows good performance for respiration rate estimation in various situation compared with the conventional method.-
dc.description.statementOfResponsibilityopen-
dc.languageKorean-
dc.publisher한국멀티미디어학회-
dc.relation.isPartOfJournal of Korea Multimedia Society (멀티미디어학회논문지)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.title레벨 셋 기반의 깊이 카메라를 이용한 호흡수 측정-
dc.title.alternativeLevel Set based Respiration Rate Estimation using Depth Camera-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Anesthesiology and Pain Medicine-
dc.contributor.googleauthor오경택-
dc.contributor.googleauthor신증수-
dc.contributor.googleauthor김정민-
dc.contributor.googleauthor유선국-
dc.identifier.doi10.9717/kmms.2017.20.9.1491-
dc.contributor.localIdA00884-
dc.contributor.localIdA02159-
dc.contributor.localIdA05364-
dc.contributor.localIdA02471-
dc.relation.journalcodeJ01476-
dc.subject.keywordLevel Set Segmentation-
dc.subject.keywordShape Prior Knowledge-
dc.subject.keywordDepth Camera-
dc.subject.keywordNon-contact-
dc.subject.keywordRespiration-
dc.subject.keywordRespiration Rate-
dc.contributor.alternativeNameKim, Jeongmin-
dc.contributor.alternativeNameShin, Cheung Soo-
dc.contributor.alternativeNameOh, Kyeong Taek-
dc.contributor.alternativeNameYoo, Sun Kook-
dc.contributor.affiliatedAuthorKim, Jeongmin-
dc.contributor.affiliatedAuthorShin, Cheung Soo-
dc.contributor.affiliatedAuthorOh, Kyeong Taek-
dc.contributor.affiliatedAuthorYoo, Sun Kook-
dc.citation.volume20-
dc.citation.number9-
dc.citation.startPage1491-
dc.citation.endPage1501-
dc.identifier.bibliographicCitationJournal of Korea Multimedia Society (멀티미디어학회논문지), Vol.20(9) : 1491-1501, 2017-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Anesthesiology and Pain Medicine (마취통증의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers

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